MCP servers that ship as code — a repository or a package you install and run locally (usually over stdio). They have no hosted endpoint, so we cannot probe or grade them: instead each one shows its repository, install command, license, stars and when it was last updated.
Collected from GitHub repositories and npm, PyPI, Cargo, Go, Maven, NuGet and RubyGems packages tagged as MCP servers, the official MCP Registry, Docker's MCP catalog, ModelScope, Baidu MCP World, Cline and other public directories; one entry per repository. A server that also offers a hosted endpoint is listed under Remote instead. These entries are not counted in our reachability, verification or readiness statistics.
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Review public code and documents with Jev in Codex and Claude Code: ranking, batch screening, claim checks, spend limits, and evaluation tools.
Apache-2.0 -
the-metis-fca-handbook-ai-harness-mcpno update data
# Metis FCA Handbook AI Harness — MCP Server An MCP (Model Context Protocol) server that integrates the Metis FCA Handbook AI Harness into Claude Desktop and other MCP-compatible agents. **Tool name:** `evaluate_fca_handbook_applicability` Use this tool to analyze FCA Handbook applicability for a product, service, or firm. Returns structured compliance reasoning with verbatim handbook citations. ## Why choose The Metis FCA Handbook AI Harness? - **Efficiency** Multiplies effectiveness of compliance advice. Saves £80+ in token fees per Harness run. - **Deals with "Hard Problem"**, in which LLMs' token incentives prioritise training data so results are unreliable. - **Verbatim citations** Quotes verbatim entries from the FCA Handbook. Other AI systems struggle to do this. - **Matches real-world need** You do not have to start off knowing which sections you are looking for. Carries out structured searches across all 10,000+ FCA Handbook entries. - **Secure Design** Harness compartmentalisation, one-shot structure, and statelessness fits natively with emerging AI agent security standards such as OWASP Top 10 for Agentic Applications 2026. - **AI Accessible** Integrates easily with AI workflows and agents. Your LLM can use it as a tool. ## Design Principles The Harness is built on proven principles: - **Stateless** — Each request is independent; no session coupling - **One-shot** — Complete analysis in a single call; no multi-turn state - **Clear contract** — Explicit input/output schemas for easy integration - **Hosted** — Single canonical source; no version drift or stale data ## Use Cases ### Compliance AI Platforms Embed FCA reasoning as a service within your compliance platform. Users ask natural-language questions; your platform calls the Harness and presents structured reasoning. ### AI Agent Workflows Agents building compliance workflows can include FCA Handbook reasoning as a composed tool—no external API calls, just MCP configuration. ### Compliance Review Automation Integrate into document review or due-diligence pipelines. Automatically screen new rules against FCA applicability. ## For Regulatory Screening FS firms screening MCP servers will find: - **Simple model:** Stateless, no hidden state, no background jobs - **Clear contract:** Explicit input schema, output schema, error modes - **Transparent updates:** Version pinning; no automatic upgrades - **Single point of failure:** If the Harness is down, it is obvious; no cascading config issues - **Audit-friendly:** All calls logged centrally, not distributed
smithery -
brain-in-the-fishgithub.com/fabio-rovai/brain-in-the-fishupdated this year
Score any document. Prove every claim.
MIT ★ 101 -
Is this document-QA system ready to ship? Deployment-readiness gate for AI document-QA and extraction systems: grounding checks, privacy redaction and cost tracking, built on OpenGATE, Redacta and PubCrawl. CLI and MCP server.
NOASSERTION ★ 1 -
court-notice-gatewaygithub.com/yashpatil582/court-notice-gatewayupdated this year
Ingestion pipeline for US bankruptcy court notices: deterministic phishing gate, LLM extraction with confidence routing, review UI, MCP server
MIT -
MCP server that reverse engineers a locked rebuild spec (CLAUDE.md, .claude config, mutation tested tests) from an existing app
npm MIT ★ 3 -
A notebook for developers that checks every citation in an answer against the actual file and line, and checks again when you reopen it. Also runs as a Claude Code Stop hook, in CI and over MCP.
Apache-2.0 -
Structural framing analysis as an MCP server with deterministic detection. The caller's agent runs the judge, so Frame Check bears zero LLM cost per query.
Apache-2.0 -
Finds the lines in your docs that a code change made wrong, and proves each one, with a fix you approve. Measured on changes planted in 30 real Python projects and on their real history. A command, a GitHub Action, and an MCP server; no AI unless you ask.
MIT -
cortexgithub.com/ALTERLK/cortexupdated this year
A RAG-powered personal knowledge base that answers questions over your documents with source citations.
MIT ★ 1 -
AI analyst agent (Gemini + MCP tools over SQLite) tested on 22,641 clothing reviews. Compares its judgments with an ML baseline on 200 held-out reviews, audits disagreements, fixes a silent wrong-question bug (2/5 to 5/5), documents governance and limits. Includes a no-setup replay site.