fastmcp

com/modelcontextprotocol/python-sdk/commits?a... Many contributors to the python sdk continued to iterate on the mcp server implementation using the name fastmcp ( since it had been donated to the project ) resulting in growing interest: https://trends.google.com/explore?q=fastmcp%20&date=2024-12-... Then around April 2025, the author likely noticing the growing interest and stickyness of the name, decided to write a new version and start using the name fastmcp again. https://github.com/PrefectHQ/fastmcp/graphs/contributors?fro... The author clearly made an attempt to promote his effort: https://www.reddit.com/r/mcp/comments/1np6dwg/fastmcp_20_is_... This resulted in a lot of confusion by users, which persists to this day. I only looked into this last year, because i was one of those users who was suddenly confused regarding the provenance of what i was actually using vs what i thought i was using; and as i looked into it i was suddenly seeing lots of questionable reddit comments pop up in subreddits i was reading, all evangelizing fastmcp 2.0 and using language that was contributing to the confusion. The author's interest in monetizing the fastmcp github repo is understandable, and he and others have clearly put alot of effort into iterating in his SaaS onramp, but the confusion arises simply because the author wanted to capitalize on the success of mcp and on the popularity of the fastmcp name, the initial growth and popularity of which was primarily driven by the effort and support of contributors to the mcp python sdk .

le at the moment with no MCP call cap, please ignore the cap text on the website. We've spent our careers building hardware and consistently faced the same limitations with any AI tool we tried: - Generic answers: they lack knowledge of our specific board designs and hallucinate when there’s a knowledge gap. - Limited context: Windows max out after just a few datasheets, app notes, or SDK docs. - Poor technical comprehension: OCR fails on tables/diagrams, causing inconsistent answers which is unacceptable for complex board bring-up. We need a persistent hardware knowledge base that any agent, editor, or CLI can query for fast, accurate, repeatable answers. Our MCP ingests your schematics (must be KiCad for now, we’re working on native Altium and Cadence), datasheets for primary BOM components, and any additional documents (app notes, user manuals, etc.), then provides an MCP key you can plug into any AI tool. To be upfront about our free beta limitations: - KiCad only for native schematic parsing. Other EDA tool support coming soon. No firmware repo integration yet. - FastMCP backend (https://github.com/jlowin/fastmcp) with manual upload to AWS S3. On-prem/air-gapped/local/your-cloud options coming. Zero training on uploaded docs, even in beta. - No SOC 2/ISO27001 yet. In progress. We're building in public and want the community’s feedback on features, roadmap, and concerns so we can iterate quickly. Our long-term goal is to enable electrical engineers to write low-level firmware, and for software engineers to debug hardware issues. We want to be useful at the hardware-software interface: generating firmware→deploying it on board→running tests→debugging results→regenerating firmware. What do you guys think? Feedback, suggestions, concerns, harsh criticisms, feature requests, everything is welcome! For the firmware application of our tool: - What chipsets do you want to see supported? What peripherals are giving you headaches in bring-up? - What other functions should the MCP expose in addition to the ones we’ve built in? - Do you see other applications of our “hardware brain” outside of firmware development that seem interesting? We're shipping early and building this with you out in the open. Help us make the tool you actually want.

n's docstring: https://github.com/jlowin/fastmcp/blob/998de22a6e76fc8ae323e...

r from an OpenAPI spec or FastAPI app - Client infrastructure: new clients for interactive use that enable advanced MCP features like client-side LLM sampling If it sounds interesting, please check out the code [1], docs [2] or announce post [3] and let me know how it goes! [1] https://github.com/jlowin/fastmcp [2] https://gofastmcp.com [3] https://www.jlowin.dev/blog/fastmcp-2