MCPR enables AI agents to participate in interactive R sessions for professional analysis workflows.

AgentCost — AI Agent Spend Analysis. MCP server that analyzes Claude Code session logs to find token waste and optimization opportunities. Free preview tier included.

Code intelligence for AI coding assistants: precise MCP context, security reviews, dependency analysis, and session telemetry for Claude Code, Codex, and Cursor.

AgentCost — AI Agent Spend Analysis. MCP server that analyzes Claude Code session logs to find token waste and optimization opportunities. Free preview tier available.

Local CLI and MCP tools for experimental load-path analysis of 3D-printed STL parts, CAD revision comparisons, visual reviews, and human-guided engineering sessions.

Local MCP server for Ableton Live: session inspection, MIDI editing, device control, audio analysis and groove tools via a Python Remote Script.

Full-control MCP server for Ableton Live 12 — 62 tools: device parameters, mixer, clips, scenes, Session→Arrangement capture, plus per-track loopback capture & audio analysis (LUFS/spectrum/punch/width).

Local-first MCP server for Claude Code cost analysis, budgets, forecasts, anomalies, and subagent-aware optimization from local JSONL session logs.

Go Architecture X-Ray is a Model Context Protocol server for inspecting Go codebases from an AI client. It runs over stdio and keeps a process-scoped in-memory analysis cache for the life of the MCP session.

Advanced AI-native web crawling platform for the agentic era. Exposes 55 production-grade Model Context Protocol (MCP) tools for deep analysis, automated REST/GraphQL discovery, browser session recording, anti-detection stealth, and smart extraction using any LLM.

TradingView Premium × Claude MCP setup — drive your own TradingView Desktop session via Chrome DevTools Protocol for chart analysis, signals, and backtesting from Claude Code. Analysis only, no order execution.

Local stdio MCP server for your own DeepSeek Web conversations: chat, thinking, allowlisted file analysis, and persistent sessions.

Read-only Entra ID org-structure and access analysis via the Azure CLI session, as an entra CLI and an MCP server.

Live AI compute pricing oracle MCP server — real-time LLM model prices across providers. Includes Claude Code skills for session cost analysis.

Web-app QA, testing & analysis for AI agents — 74 Playwright tools: authenticated flows (2FA/SSO), 25-action E2E workflows, hard assertions, session reports, and accessibility / SEO / GEO / Core-Web-Vitals + Lighthouse audits across a page or a full crawled site. Battle-tested by an AI agent on real apps.

SAP ABAP MCP is a local-first Model Context Protocol server that enables AI coding agents to develop, test, analyze, and operate SAP ABAP systems through the official ABAP Development Tools HTTP services. It supports repository search and source editing, structured DDIC workflows, enhancement inspection, paged package navigation, source-backed object creation, semantic services, activation, ABAP Unit and ATC, transports, abapGit, RAP generation, debugging, bounded class and executable-program profiling, runtime dumps, traces and feeds, cross-system comparison, dependency analysis, guarded refactoring, and an opt-in same-origin Screen/GUI Status bridge. Curated compact, development, and assurance presets reduce tool-schema token use without removing capabilities from the default surface. The default local stdio mode can be extended with governed self-hosted Streamable HTTP, API-key roles, OIDC/JWT authentication, request-scoped SAP bearer forwarding, per-session isolation, rate limits, structured audit logs, or a side-effect-free embeddable Node.js API. It also includes browser OAuth Authorization Code with PKCE, a read-only transport assurance CLI and GitHub Action, BTP service-key profile import, and live-SAP evidence tooling. SAP profiles and credentials remain on the user's computer, with passwords and OAuth credentials protected by macOS Keychain or Windows DPAPI. SAP-dependent capabilities are validated against the user's own SAP release, configuration, and authorizations.

# 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

MCP server for searching and analyzing Claude Code conversation history

Teach your AI to play piano and guitar, sing, and listen. Two public-domain hymns sung on the beat by a synthetic voice, measured and passed by ear. 56 MCP tools, 109 annotated songs, 6 engines, a browser cockpit, an audio inspector, and two public tool-use datasets.

Human-intent extraction from AI coding sessions. MCP server + CLI for Claude Code, Cursor, Windsurf, and more.

AI coding skill evaluator for Claude Code — 11-dimension scoring, decision intelligence, PR reports

MCP server that lets AI assistants (Claude, Codex, Cursor, Gemini) drive your running MSC Apex session

MCP server for ClickHouse: safe read-only SQL queries and cross-service log correlation by session ID and time window

AI-powered crash triage over MCP — drives real CDB/GDB/LLDB sessions across Windows, Linux, and macOS so AI assistants debug from runtime truth, not guesswork.

Stateful CSV editing MCP server for AI assistants — sessions, undo/redo, auto-save, and 39 pandas-powered tools. Works with Claude, ChatGPT, Cursor, Windsurf, Claude Code, and any MCP-compatible client. Built on FastMCP 3

Persistent codebase memory for AI coding agents — Claude Code, Codex, Cursor, Cline, Continue and any MCP client. Learns which files go together from how you work and serves compact, ranked context: the gold file on 40 of 40 public-benchmark queries to keyword ripgrep's 32 of 40, at 31-67× fewer tokens than ripgrep and 51-242× fewer than pasting every source file (a larger 150-question eval misses 10). Local-first, no telemetry by default.

The recorder for your AI conversations — local-first MCP memory that keeps byte-exact copies of your Claude Code, Codex and Pi sessions (Claude Code deletes its own after 30 days) and answers with a citation or abstains. DuckDB.

Turns any text stream into a dated history of how its subject changed. Point it at your Claude Code, OpenCode or Codex sessions to track how you think and work, or at market news, research, or any corpus to track how it changed — raw records to observations to bi-temporal facets to narrative, with provenance, served over MCP. Single pure-Go binary.