Python model-context-protocol

Open-source Python projects categorized as model-context-protocol

Top 23 Python model-context-protocol Projects

model-context-protocol
  1. fastmcp

    🚀 The fast, Pythonic way to build MCP servers and clients.

    Project mention: The portal said "Live." For a few hours the page kept saying the connector didn't exist. | dev.to | 2026-09-24

    This has caught other people too. A pull request to FastMCP describes the same problem: its titles were going only into the top-level field, so the Claude connectors directory saw the tools as nameless. If the portal says your tools are missing titles and you can clearly see the titles in the schema, check annotations.title before doing anything more dramatic. That string is also what users see in the confirmation dialog, so they get "Create post" instead of create_post.

  2. AppSignal

    Monitoring that respects your time & budget. APM, error tracking, and dashboards for modern web apps. Ten-minute setup, transparent flat pricing, and support from engineers who actually use the product.

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  3. mcp-agent

    Build effective agents using Model Context Protocol and simple workflow patterns

    Project mention: Show HN: MCP-C – cloud platform for running MCP agents and apps | news.ycombinator.com | 2025-10-28
  4. Upsonic

    Build autonomous AI agents in Python.

    Project mention: An AI agent framework used by fintechs | news.ycombinator.com | 2025-11-22
  5. mcp-context-forge

    An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.

    Project mention: Every AI toolchain is inventing its own safety layer. We shipped one that works across all of them. | dev.to | 2026-05-12

    Anthropic shipped Claude Code hooks — PreToolUse, PostToolUse, Notification, and friends. They run as subprocesses, get JSON on stdin, and decide whether the tool call proceeds. OpenAI ships tool guardrails in the Agents SDK — Python (and now TS) callables you attach to a tool, with tripwire booleans that abort the run. The MCP ecosystem is sprouting gateways and proxies for the same purpose: MCPX, IBM ContextForge, Microsoft's MCP Gateway, Lasso Security's MCP Gateway — all reasonable answers to the same wire-level question.

  6. stealth-browser-mcp

    The only browser automation that bypasses anti-bot systems. AI writes network hooks, clones UIs pixel-perfect via simple chat.

    Project mention: Show HN: Vibium – Browser automation for AI and humans, by Selenium's creator | news.ycombinator.com | 2025-12-24

    Maybe this is something: https://github.com/vibheksoni/stealth-browser-mcp

  7. ADR

    ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber. (by uber)

    Project mention: Uber open-sourced its security monitoring for Claude Code, Cursor and Codex | news.ycombinator.com | 2026-08-06
  8. bernstein

    The open‑source AI Agents Governance & Orchestration framework: write the rules declaratively, Bernstein enforces them and produces the verifiable, replayable record. Free, Apache-2.0. https://bernstein.run

    Project mention: Show HN: Bernstein – run 44 CLI coding agents from one deterministic scheduler | news.ycombinator.com | 2026-08-14
  9. SaaSHub

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  10. MassGen

    🚀 MassGen is an open-source multi-agent scaling system that runs in your terminal, autonomously orchestrating frontier models and agents to collaborate, reason, and produce high-quality results. | Join us on Discord: discord.massgen.ai

  11. minima

    On-premises conversational RAG with configurable containers (by Minima-AI-Inc)

  12. best-of-Agent-Harnesses

    🏆 Ranked list of 167 AI agent harnesses, plus templates, playbooks, MCP, and learning resources. Rescored weekly.

    Project mention: Best-of-Agent-Harnesses – Ranked list of 167 AI agent harnesses, rescored weekly | news.ycombinator.com | 2026-10-01
  13. MCP-Bridge

    A middleware to provide an openAI compatible endpoint that can call MCP tools (by SecretiveShell)

  14. iai-personal-memory-engine

    A cyber brain for your AI. It never forgets a detail, remembers exactly what you said, and learns how you work over time. Free, local, works with Cursor, Claude Code, Codex, OpenClaw, Hermes and more. MIT.

    Project mention: 50K-token context reloads, replaced by a 2K local memory engine | news.ycombinator.com | 2026-06-28
  15. arcade-mcp

    MCP Server Framework and Tool Development library for building custom capabilities into agents.

    Project mention: Should you build or buy an MCP runtime for enterprise AI agents in 2026? | dev.to | 2026-05-13

    Agent-optimized tools. Arcade's catalog of over 8,000 agent-optimized MCP tools are not API wrappers. They translate natural-language intent into structured API calls, so an agent asked to "send this to Finance" does not have to hallucinate the target recipient_user_id. The token cost shows up in benchmarks: for identical CRM queries, intent-level tooling produced 100x fewer response tokens than a raw API-passthrough approach, with token output equivalent to 3.7% of a 200K context window versus 373%. At scale, that overhead translates to context-window overflow in multi-step workflows and degraded agent accuracy. The runtime handles parallelized tool execution, failover, and retries. The Arcade MCP Framework lets you build custom proprietary tools that federate into the same control plane with the same auth and governance wrapping.

  16. mcp-nixos

    MCP-NixOS - Model Context Protocol Server for NixOS resources

    Project mention: Ask HN: Who is using MCP in production? | news.ycombinator.com | 2026-09-03

    In general the advantage of MCP would be the possibility for a fine grained control over the tools the agent is allowed to use. But unfortunately there is a myriad of nightmarish awful mcp servers around which are worse than direct API access or even a cli integration.

    I wont advertise any commercial mcp I use but to give an example for a well designed and useful mcp server I could name the nixos mcp. Its useful because it bundles all the nix resources to one endpoint which is more efficient than web search and gives you better control over the sources.

    https://github.com/utensils/mcp-nixos

    Another one would be this filesystem mcp which is in my opinion to prefer over direct cli access. Of course this depends also on your general sandbox strategy but if you just use a generic docker image there are still many potentially dangerous binaries available and such an mcp can restrict the models capabilities.

    https://github.com/modelcontextprotocol/servers/tree/main/sr...

    And of course there are many service provider offering their mcp with its own llm / agent behind e.g. most web search provider. In this case you most likely already use an mcp without noticing it.

  17. mcp-client-for-ollama

    Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved preferences.

    Project mention: Meta Llama MCP Servers — AI Agents for Llama 4, Ollama, and the Open-Weight LLM Ecosystem | dev.to | 2026-03-25

    GitHub: jonigl/mcp-client-for-ollama — 577 stars, 85 forks

  18. idea-reality-mcp

    Pre-build reality check for AI coding agents. Scans GitHub, HN, npm, PyPI, Product Hunt. MCP server. 290+ stars.

    Project mention: I Built an AI That Tells You If Your Idea Already Exists — And Syncs Results to Notion | dev.to | 2026-03-14

    Then I built idea-reality-mcp — a tool that scans actual platforms instead of relying on LLM knowledge. I ran my own idea through it.

  19. mcp-client-cli

    A simple CLI to run LLM prompt and implement MCP client.

    Project mention: Show HN: Mcp2cli – One CLI for every API, 96-99% fewer tokens than native MCP | news.ycombinator.com | 2026-03-08
  20. python-utcp

    Official python implementation of UTCP. UTCP is an open standard that lets AI agents call any API directly, without extra middleware.

    Project mention: UTCP: um protocolo alternativo ao MCP para chamada de ferramentas | dev.to | 2025-12-23

    O UTCP (Universal Tool Calling Protocol) é um protocolo aberto que descreve como ferramentas podem ser chamadas por agentes de IA usando diretamente seus protocolos nativos, sem a necessidade de servidores intermediários.

  21. ainativelang

    AINL helps turn AI from "a smart conversation" into "a structured worker." It is designed for teams building AI workflows that need multiple steps, state and memory, tool use, repeatable execution, validation and control, and lower dependence on long prompt loops. AINL is a compact, graph-canonical, AI-native programming system for (READ: README)

    Project mention: Project Glasswing: An Initial Update | news.ycombinator.com | 2026-05-22

    And to consider AI agents are still mostly entirely limited to generating code in programming languages designed to be written, tested and debugged by humans.

    Here are two experimental exceptions:

    https://github.com/vercel-labs/zerolang

    https://github.com/sbhooley/ainativelang

  22. dbt-mcp

    A MCP (Model Context Protocol) server for interacting with dbt.

  23. flyto-core

    AI said it finished. Flyto2 shows the proof.

    Project mention: Show HN: What if YAML was a programming language? (412 built-in modules) | news.ycombinator.com | 2026-02-24
  24. bagel

    Query robotics, drone, and IoT data in plain English through an MCP server, with an intelligent edge data reduction pipeline that keeps only the data that matters. (by Extelligence-ai)

  25. nextcloud-mcp-server

    Nextcloud MCP Server

    Project mention: Open-source memory for coding agents, synced over SSH | news.ycombinator.com | 2026-07-15

    I have developed an open-source memory system for agents accessible over MCP, which makes it possible to access it via any coding agent locally (claude-code) or via mobile (Claude AI, Mistral AI, etc).

    The primary storage mechanism is .md files stored as Notes in Nextcloud; however, since Nextcloud supports a rich ecosystem of apps such as documents, rss feeds, calendar, etc, your knowledge base can grow with you. All content can optionally be indexed and available via semantic search - powered by a Qdrant vectordb.

    If you're interested either the MCP server or Nextcloud App frontend, please check out:

    https://github.com/cbcoutinho/nextcloud-mcp-server

    https://apps.nextcloud.com/apps/astrolabe

  26. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

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Python model-context-protocol related posts

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  • The portal said "Live." For a few hours the page kept saying the connector didn't exist.

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  • A note from our sponsor - SaaSHub
    www.saashub.com | 5 Oct 2026
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Index

What are some of the best open-source model-context-protocol projects in Python? This list will help you:

# Project Stars
1 fastmcp 27,945
2 mcp-agent 8,569
3 Upsonic 7,957
4 mcp-context-forge 4,557
5 stealth-browser-mcp 2,167
6 ADR 1,616
7 bernstein 1,354
8 MassGen 1,136
9 minima 1,049
10 best-of-Agent-Harnesses 1,028
11 MCP-Bridge 928
12 iai-personal-memory-engine 900
13 arcade-mcp 889
14 mcp-nixos 849
15 mcp-client-for-ollama 826
16 idea-reality-mcp 823
17 mcp-client-cli 675
18 python-utcp 652
19 ainativelang 650
20 dbt-mcp 607
21 flyto-core 483
22 bagel 397
23 nextcloud-mcp-server 373

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