Standalone MCP directory — 61862 servers across 36145 domains, each exposing a remote (streamable-http) endpoint and health-probed via a JSON-RPC initialize handshake.
Add your serverAggregated from the official MCP Registry, Smithery and other public registries, plus our own crawling and operator submissions. Every server is de-duplicated by endpoint, health-probed via a live JSON-RPC initialize handshake, and statically scanned for malware & prompt-injection patterns in its advertised tools before listing — yielding 61862 indexed servers, of which 53021 answered within the last 6 h.
Top rated
by quality score · health · trust signals| # | Tool | Grade | Score |
|---|---|---|---|
| 1 | Homo Universalis — HU-DIAMOND v1.1 Cryptographic Verifier & AST Kintsugi MCP Server | A | 10.000 |
| 2 | FlowState Hosted | A | 10.000 |
| 3 | Verified x402 Catalog | A | 10.000 |
| 4 | True Value Rankings | A | 10.000 |
| 5 | X402-Broker Universal MCP Gateway & Multi-Agent Swarm Router | A | 10.000 |
| 6 | GraphQL operation count, query discarded | A | 9.998 |
| 7 | Paper Search (arXiv + Semantic Scholar + OpenAlex) | A | 9.994 |
| 8 | BNF production count, body discarded | A | 9.994 |
| 9 | multibase z-prefix, value discarded | A | 9.994 |
| 10 | Liters to US gallons | A | 9.994 |
| 11 | Slugs to kilograms, number discarded | A | 9.992 |
| 12 | Sponsored Agent Placement | A | 9.991 |
| 13 | UUID v7 unix-ms layout, value discarded | A | 9.991 |
| 14 | Train-Case segment count, text discarded | A | 9.991 |
| 15 | Utility 87 | A | 9.991 |
| 16 | Utility 43 | A | 9.991 |
| 17 | Asia/Sakhalin clock | A | 9.991 |
| 18 | GitHub topic slug charset, value discarded | A | 9.989 |
| 19 | Utility 18 | A | 9.989 |
| 20 | pyproject.toml table count, body discarded | A | 9.989 |
All MCP servers
Continuously aggregated · refreshed daily.
“//beforeyouship — LLM cost modeling from your editor” is shared by 3 different URLs
All exact-name matches are shown; ranked results follow.-
Model the realistic monthly cost of an LLM app **before you build it**. Not a token calculator: retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth are modeled in, across GPT-5.x, Claude, Gemini, DeepSeek, and more. **Works without a key.** Connect and ask — demo mode covers the six free-tier models. A Pro API key ([beforeyouship.dev](https://beforeyouship.dev)) unlocks the full 18-model catalog. ## Tools | Tool | What it does | |---|---| - **`estimate_cost`** Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case $/mo per model, growth scenarios, and an opinionated recommendation. | - **`get_model_prices`** Current per-1M-token pricing (input, output, cached, batch) with context windows and staleness metadata. | - **`list_archetypes`** Seven preset architecture patterns (chatbot, RAG pipeline, multi-step agent, …) used as starting points for estimates. | ## Try it Paste into Claude Code or Cursor after connecting: > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day ## Setup ```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ``` ## Links - Docs & tool reference: https://beforeyouship.dev/docs#mcp - Live calculator: https://beforeyouship.dev - Announcement: https://beforeyouship.dev/blog/query-llm-costs-from-claude-code
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mcp ok
uptime_30d 1.0%; p95 744.8ms; conformance: fail
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//beforeyouship — LLM cost modeling from your editor https://server.smithery.ai/beforeyouship/cost-model/mcpmcp ok
Model the realistic monthly cost of an LLM app **before you build it**. Not a token calculator: retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth are modeled in, across GPT-5.x, Claude, Gemini, DeepSeek, and more. **Works without a key.** Connect and ask — demo mode covers the six free-tier models. A Pro API key ([beforeyouship.dev](https://beforeyouship.dev)) unlocks the full 18-model catalog. ## Tools | Tool | What it does | |---|---| - **`estimate_cost`** Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case $/mo per model, growth scenarios, and an opinionated recommendation. | - **`get_model_prices`** Current per-1M-token pricing (input, output, cached, batch) with context windows and staleness metadata. | - **`list_archetypes`** Seven preset architecture patterns (chatbot, RAG pipeline, multi-step agent, …) used as starting points for estimates. | ## Try it Paste into Claude Code or Cursor after connecting: > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day ## Setup ```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ``` ## Links - Docs & tool reference: https://beforeyouship.dev/docs#mcp - Live calculator: https://beforeyouship.dev - Announcement: https://beforeyouship.dev/blog/query-llm-costs-from-claude-code
“Authenticated LLM Agent” is shared by 4 different URLs
All exact-name matches are shown; ranked results follow.-
conformance: fail
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Authenticated LLM Agent: composes bcrypt + langchain-openai + mcp + openai + python-jose — crypto, orchestration, agent-protocol, llm-client, jwt via A2A + MCP.
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Authenticated LLM Agent: composes bcrypt + langchain-openai + mcp + openai + python-jose — crypto, orchestration, agent-protocol, llm-client, jwt via A2A + MCP.
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Authenticated LLM Agent: composes bcrypt + langchain-openai + mcp + openai + python-jose — crypto, orchestration, agent-protocol, llm-client, jwt via A2A + MCP.
“Authenticated LLM JWT Agent” is shared by 3 different URLs
All exact-name matches are shown; ranked results follow.-
Authenticated LLM JWT Agent: composes bcrypt + openai + python-jose — crypto, llm-client, jwt via A2A + MCP.
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Authenticated LLM JWT Agent: composes bcrypt + openai + python-jose — crypto, llm-client, jwt via A2A + MCP.
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Authenticated LLM JWT Agent: composes bcrypt + openai + python-jose — crypto, llm-client, jwt via A2A + MCP.
“Authenticated Multi-LLM Agent” is shared by 3 different URLs
All exact-name matches are shown; ranked results follow.-
Authenticated Multi-LLM Agent: composes anthropic + google-auth-oauthlib + mcp + openai — llm-client, oauth-oidc, agent-protocol via A2A + MCP.
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Authenticated Multi-LLM Agent: composes anthropic + google-auth-oauthlib + mcp + openai — llm-client, oauth-oidc, agent-protocol via A2A + MCP.
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mcp ok
Authenticated Multi-LLM Agent: composes anthropic + google-auth-oauthlib + mcp + openai — llm-client, oauth-oidc, agent-protocol via A2A + MCP.
“LLM Observability & Orchestration Agent” is shared by 4 different URLs
All exact-name matches are shown; ranked results follow.-
mcp ok
conformance: fail
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a2a ok
LLM Observability & Orchestration Agent: composes langchain-core + langsmith + openai — orchestration, observability, llm-client via A2A + MCP.
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a2a ok
LLM Observability & Orchestration Agent: composes langchain-core + langsmith + openai — orchestration, observability, llm-client via A2A + MCP.
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LLM Observability & Orchestration Agent https://server.smithery.ai/a2a/llm-observability-orchestration/mcpmcp ok
LLM Observability & Orchestration Agent: composes langchain-core + langsmith + openai — orchestration, observability, llm-client via A2A + MCP.
“llms.txt 檢查工具” is shared by 2 different URLs
All exact-name matches are shown; ranked results follow.-
檢查網站 llms.txt 與 AI 爬蟲 robots.txt 設定,並自動產生 llms.txt。
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llms.txt 檢查工具:檢查網站的 llms.txt、robots 與 sitemap。台灣繁體中文 MCP 工具。
“OAuth Multi-LLM Orchestrator” is shared by 3 different URLs
All exact-name matches are shown; ranked results follow.-
OAuth Multi-LLM Orchestrator: composes cryptography + google-auth-oauthlib + langchain + langchain-anthropic + mcp + openai + opentelemetry-sdk — crypto, oauth-oidc, orchestration, agent-protocol, llm-client, observability via A2A + MCP.
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OAuth Multi-LLM Orchestrator: composes cryptography + google-auth-oauthlib + langchain + langchain-anthropic + mcp + openai + opentelemetry-sdk — crypto, oauth-oidc, orchestration, agent-protocol, llm-client, observability via A2A + MCP.
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OAuth Multi-LLM Orchestrator: composes cryptography + google-auth-oauthlib + langchain + langchain-anthropic + mcp + openai + opentelemetry-sdk — crypto, oauth-oidc, orchestration, agent-protocol, llm-client, observability via A2A + MCP.
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Read-only: which local LLMs a GPU or Mac can run - VRAM fit, tokens/sec, model specs.
B+9.2 🔓 open streamable-http -
Daily LLM API prices, cost estimates and automation ROI tools from shurco.ai
B8.6 🔓 open streamable-http -
Validate a site's llms.txt against the spec: fetches every linked URL, scores it 0-100.
B8.4 🔓 open streamable-http -
Crawls any documentation or SaaS site and compiles a standards-compliant /llms.txt manifest and JSON-LD schema bundle. (Live A2A v0.3, MCP & x402 v2 node at https://llms-generator.agentdiet.dev)
B+9.3 🔓 open -
llms.txt 檢查工具:檢查網站的 llms.txt、robots 與 sitemap。台灣繁體中文 MCP 工具。
B+9.5 🔓 open streamable-http -
檢查網站 llms.txt 與 AI 爬蟲 robots.txt 設定,並自動產生 llms.txt。
B+9.4 🔓 open streamable-http -
Coordinate multiple AI agents over MCP: atomic claims, leases, shared ledger, handoffs, tasks.
C5.3 🔓 open streamable-http -
LLM provider intelligence: recommendations, pricing, and status
B+9.1 🔓 open streamable-http -
Create, validate and audit llms.txt, incl. the Lighthouse Agentic Browsing check.
B8.8 🔓 open streamable-http -
MCP server that routes any prompt to the cheapest reachable free/cheap LLM (Kimi K2.6, Qwen, DeepSeek, Cloudflare Workers AI, Groq, Gemini...). Reuses Free & Cheap Tokens model channels. Pay-Per-Event: no monthly fee, pay only per tool call… — 30 runs
C5.5 🔑 human key streamable-http apify_token -
Cloudflare Workers MCP server: llm-output-quality-monitor
A9.5 🔓 open streamable-http -
Private Llm Instance Provisioner is an enterprise-grade Model Context Protocol (MCP) micro-service from the M2MCent network. Premium agentic endpoint for private-llm-instance-provisioner-mcp. Monetized via x402 on Base Mainnet ($1.5 USDC per execution). Zero-gas settlement.
B8.5 🔑 human key streamable-http smithery_api_key -
Llm Benchmark Evaluatorhttps://server.smithery.ai/evozim-hv/llm-benchmark-evaluator-mcp/mcp● healthy
Llm Benchmark Evaluator is an enterprise-grade Model Context Protocol (MCP) micro-service from the M2MCent network. Premium agentic endpoint for llm-benchmark-evaluator-mcp. Monetized via x402 on Base Mainnet ($0.22 USDC per execution). Zero-gas settlement.
C+7.0 🔑 human key streamable-http smithery_api_key -
Crawls any website and generates a standards-compliant /llms.txt file and JSON-LD schema bundle.
A9.8 🔓 open streamable-http -
Crawls any documentation or SaaS site and compiles a standards-compliant /llms.txt manifest and J.
A9.7 🔓 open streamable-http -
Create an llms.txt that stays useful. Crawl a public website, select the pages that matter, edit the Markdown and validate the published file. Then keep it healthy with a free weekly 0–100 score and three concrete next steps.
C+7.1 🔑 human key streamable-http smithery_api_key -
Llm Response Streaming Compressor is an enterprise-grade Model Context Protocol (MCP) micro-service from the M2MCent network. Premium agentic endpoint for llm-response-streaming-compressor-mcp. Monetized via x402 on Base Mainnet ($0.04 USDC per execution). Zero-gas settlement.
B8.1 🔑 human key streamable-http smithery_api_key -
Llm Provider Outage Fallback is an enterprise-grade Model Context Protocol (MCP) micro-service from the M2MCent network. Premium agentic endpoint for llm-provider-outage-fallback-mcp. Monetized via x402 on Base Mainnet ($0.05 USDC per execution). Zero-gas settlement.
C+7.0 🔑 human key streamable-http smithery_api_key -
An MCP server that provides access to Svelte 5 and SvelteKit documentation
B+9.1 🔓 open streamable-http -
//beforeyouship — LLM cost modeling from your editorhttps://cost-model--beforeyouship.run.tools● healthy
uptime_30d 1.0%; p95 744.8ms; conformance: fail
C+6.6 🔓 open -
video-summarizer-llm-mcphttps://server.smithery.ai/evozim-hv/video-summarizer-llm-mcp/mcp● healthy
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B8.4 🔑 human key streamable-http smithery_api_key -
Sustainable Llm Leaderboard Oracle is an enterprise-grade Model Context Protocol (MCP) micro-service from the M2MCent network. Premium agentic endpoint for sustainable-llm-leaderboard-oracle-mcp. Monetized via x402 on Base Mainnet ($0.01 USDC per execution). Zero-gas settlement.
B8.3 🔑 human key streamable-http smithery_api_key -
Quantum Safe Llm Session Encryptor is an enterprise-grade Model Context Protocol (MCP) micro-service from the M2MCent network. Premium agentic endpoint for quantum-safe-llm-session-encryptor-mcp. Monetized via x402 on Base Mainnet ($0.25 USDC per execution). Zero-gas settlement.
B8.3 🔑 human key streamable-http smithery_api_key -
Estimate 2026 enterprise LLM API token costs, prompt caching savings, and developer benchmarks.
B+9.5 🔓 open streamable-http -
Chat with any LLM, generate images, browse models and check your usage and costs.
C+6.0 🔑 human key streamable-http bearer_api_key -
Evaluate agent workflows and LLMs on your own data: find wasted steps, pick models, catch drift.
C4.2 🔓 open streamable-http -
AI visibility analytics for brand mentions, citations, sentiment, and GEO reports
C5.4 🔓 open streamable-http -
AI brand visibility analytics: visibility scores, optimizations, video, Reddit, and search rankings.
C+5.8 🔓 open streamable-http -
Website tech stack, SEO issues, robots.txt AI-bot rules, sitemap and llms.txt in one call.
C+5.8 🔓 open streamable-http -
Run one LLM instruction over every row to classify, extract or summarise into new columns.
C+5.6 🔓 open streamable-http -
llms.txt Checker - AI Readiness Audithttps://mcp.apify.com?tools=apifmcpfactory/llms-txt-checker● healthy
Checks llms.txt, AI crawler access in robots.txt, and sitemap - with a 0-100 AI readiness score.
C5.0 🔓 open streamable-http -
Detect and redact PII and secrets (API keys, tokens) in text, HTML or PDF before it reaches an LLM.
C+6.0 🔓 open streamable-http -
llms.txt Checker - AI Readiness Audithttps://mcp.apify.com/?tools=apifmcpfactory/llms-txt-checker● healthy
Checks llms.txt, AI crawler access in robots.txt, and sitemap - with a 0-100 AI readiness score.
C4.9 🔓 open -
Authenticated LLM Agent
B+9.3 🔓 open streamable-http -
Authenticated LLM JWT Agenthttps://server.smithery.ai/a2a/authenticated-llm-jwt-agent/mcp● healthy
Authenticated LLM JWT Agent: composes bcrypt + openai + python-jose — crypto, llm-client, jwt via A2A + MCP.
C+7.0 🔑 human key streamable-http smithery_api_key -
Authenticated LLM JWT Agent
B+9.3 🔓 open streamable-http -
ai.getvda/authenticated-llm-agent-bcrypthttps://authenticated-llm-agent-bcrypt.getvda.ai/mcp● healthy
Authenticated LLM Agent (Bcrypt)
B+9.3 🔓 open streamable-http -
Multi-brand AI code review for Claude: up to 12 reviewers and a judge, no install.
D3.1 🔓 open streamable-http -
ai.getvda/authenticated-multi-llm-agenthttps://authenticated-multi-llm-agent.getvda.ai/mcp● healthy
Authenticated Multi-LLM Agent
B+9.3 🔓 open streamable-http -
ai.getvda/encrypted-oauth-llm-agenthttps://authenticated-llm-agent-cryptography.getvda.ai/mcp● healthy
Encrypted OAuth LLM Agent
B+9.3 🔓 open streamable-http -
OAuth Multi-LLM Orchestrator
B+9.3 🔓 open streamable-http -
Authenticated LLM MCP Agent
B+9.3 🔓 open streamable-http -
ai.getvda/authenticated-llm-traced-agenthttps://authenticated-llm-traced-agent.getvda.ai/mcp● healthy
Authenticated LLM Traced Agent
B+9.3 🔓 open streamable-http -
Fetch URLs and return clean Markdown for RAG — nav, ads and boilerplate stripped.
C+6.0 🔓 open streamable-http -
PDF, Word, PowerPoint and scans to Markdown or RAG chunks, via the Apify actor
C+5.7 🔑 human key streamable-http bearer_api_key -
Authenticated LLM Agent: composes bcrypt + langchain-openai + mcp + openai + python-jose — crypto, orchestration, agent-protocol, llm-client, jwt via A2A + MCP.
C+7.0 🔑 human key streamable-http smithery_api_key -
Authenticated Multi-LLM Agenthttps://server.smithery.ai/a2a/authenticated-multi-llm-agent/mcp● healthy
Authenticated Multi-LLM Agent: composes anthropic + google-auth-oauthlib + mcp + openai — llm-client, oauth-oidc, agent-protocol via A2A + MCP.
C+7.0 🔑 human key streamable-http smithery_api_key -
conformance: fail
B8.4 🔓 open -
Live web search, image search, topic filters and full-text fetch over our own crawled index.
C5.4 🔓 open streamable-http -
JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion.
A9.7 🔓 open streamable-http -
OAuth Multi-LLM Orchestratorhttps://server.smithery.ai/a2a/oauth-multi-llm-orchestrator/mcp● healthy
OAuth Multi-LLM Orchestrator: composes cryptography + google-auth-oauthlib + langchain + langchain-anthropic + mcp + openai + opentelemetry-sdk — crypto, oauth-oidc, orchestration, agent-protocol, llm-client, observability via A2A + MCP.
C+7.0 🔑 human key streamable-http smithery_api_key -
LLM and GPU rental prices: model price lookup, GPU listings, cheapest-GPU search, price history
A9.6 🔓 open streamable-http -
Google-OAuth-gated LLM gateway: verify a Google ID token, then run a Gemini (Vertex AI) completion f
A9.9 🔓 open streamable-http -
Checks if a cheaper model agrees with your GPT, Claude or Gemini outputs, and what routing saves.
B+9.5 🔓 open streamable-http -
LLM Model Navigator MCPhttps://reverberant-equality--mcp-llm-model-navigator.apify.actor/● healthy
Compare current AI models, estimate token costs, and get transparent model recommendations for coding, reasoning, chat, vision, and budget-sensitive workloads. — 13 runs
C+5.9 🔑 human key streamable-http apify_token -
Scrape websites by following links and extract structured data from natural language instructions.
B+9.1 🔓 open streamable-http -
LLM Observability & Orchestration Agent: composes langchain-core + langsmith + openai — orchestration, observability, llm-client via A2A + MCP.
C+7.0 🔑 human key streamable-http smithery_api_key -
Traced LLM Proxy
B+9.4 🔓 open streamable-http -
ai.getvda/llm-observability-orchestrationhttps://llm-observability-orchestration.getvda.ai/mcp● healthy
LLM Observability & Orchestration Agent
B8.0 🔓 open streamable-http -
ai.getvda/llm-orchestration-agent-d0a1a1https://llm-orchestration-agent-d0a1a1.getvda.ai/mcp● healthy
LLM Orchestration Agent
B8.0 🔓 open streamable-http