MCP servers for repositories, version control, CI, error tracking, sandboxes and code execution. Each entry is scanned with the deterministic Capability-Flow Trust Model — grades are computed, never self-reported.
Convert OpenAPI specs into MCP (Model Context Protocol) servers
MCP server for durable one-by-one review workflows, with prioritized session state for coding agents.
MCP server for Obris — bring your curated knowledge into any AI conversation
MCP server that instruments Python AI agents with the ioa-observe-sdk
Semantic search for Obsidian vaults via MCP
MCP server for capturing screenshots from OCP CAD Viewer
Lightweight MCP server for indexing Odoo code
CLI and Python SDK for managing MCP Gateway workspaces, backends, and agents
MCP server for manipulating Microsoft Visio documents
OhMyLinearMCP - unified Linear MCP (local-fast reads + official fallback/writes) on macOS
MCP server for Open Knowledge Format (OKF) bundles — expose okf-ingest's deterministic consume verbs (search, context, graph impact, diff, doctor) as agent tools.
Lint and serve Open Knowledge Format (OKF) bundles — a validator and MCP server for the OKF v0.1 spec
MCP server for Ollagraph — exposes 73+ web-infrastructure tools to AI agents.
MCP Bridge for Ollama - Use local LLMs from any MCP-compatible AI
Production-ready MCP server for Greenhouse, designed for recruiters and hiring teams
MCP server that wraps the Open Notebook API
MCP Bridge for OpenAI GPT/o1 - Use OpenAI from any MCP-compatible AI
Expose any OpenAPI/Swagger API as Model Context Protocol (MCP) tools over stdio.
OpenAPI to Model Context Protocol (MCP) proxy server - dynamically translates OpenAPI specs into MCP tools
A Python library to automatically convert any OpenAPI v2/v3 specification into a Model Context Protocol (MCP) server, with integrations for popular frameworks like FastAPI.
An MCP server powered by fastMCP for inspecting local OpenAPI specs.
OpenAPI to MCP服务器，提供OpenAPI转换为MCP功能
MCP server for OpenClaw Consensus ??9-LLM consensus to fight hallucinations. Built by yanmiayn, 16yo Korean solo dev.
MCP server for safe AI agent runtime upgrades — user-driven regression detection (catalog + pre/post snapshot diff + rollback) AND provider-side regression detection (passive fingerprint of latency/response-shape/model-version drift across hosted Anthropic/OpenAI/etc. calls). Read-only advisor: never executes the upgrade itself; operator retains full agency.