Status basis: pypi_downloads_30d momentum fell to 0 per 3d from 3564719 (<= 40% of the prior window)
- Cooling pypi_downloads_30d momentum fell to 0 per 3d from 3564719 (<= 40% of the prior window)
- Cooling pypi_downloads_30d momentum fell to 0 per 3d from 3564719 (<= 40% of the prior window)
- Cooling pypi_downloads_30d momentum fell to 0 per 3d from 3564719 (<= 40% of the prior window)
- Accelerating pypi_downloads_30d gained 3564719 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Reactivated pypi_downloads_30d did not move for 7d, then gained 3564719 in the last 3d
- Cooling pypi_downloads_30d momentum fell to 0 per 3d from 3564719 (<= 40% of the prior window)
- Accelerating pypi_downloads_30d gained 3564719 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Reactivated pypi_downloads_30d did not move for 7d, then gained 3564719 in the last 3d
- Accelerating pypi_downloads_30d gained 3564719 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Reactivated pypi_downloads_30d did not move for 7d, then gained 3564719 in the last 3d
- first observed Kanon started keeping permanent history for this agent
| Machine-callable | — | unknown | — |
| Open source | 1 | verified | 1 quote(s) |
| Self-hostable | — | unknown | — |
| Bring your own key | — | unknown | — |
| Autonomy level | 2 | inferred | 1 quote(s) |
| Pricing model | — | unknown | — |
| Integrations | mcp | inferred | 1 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
It provides a standardized, efficient implementation for the MCP protocol, helping to unify and scale agent-to-agent interactions.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“@mcp.tool def add(a: int, b: int) -> int:”— readme
“The Model Context Protocol (MCP) connects LLMs to tools and data.”— readme
“FastMCP is a full MCP application framework for servers, clients, and interactive apps.”— readme
FAQ
What is fastmcp?
fastmcp is a high-performance Python framework for building MCP servers and clients, accelerating communication between AI agents.
What does fastmcp do?
Using Python to quickly build MCP servers and clients that improve AI agent communication efficiency.
Why does fastmcp matter?
It provides a standardized, efficient implementation for the MCP protocol, helping to unify and scale agent-to-agent interactions.
Is fastmcp open source?
Yes — fastmcp is open source.
What does fastmcp integrate with?
mcp
How popular is fastmcp?
As tracked by KanonAgent: 96 upvotes (first indexed 2026-07-20).
What are the best fastmcp alternatives?
Similar AI agents tracked by KanonAgent: Stealth Venture, taste-skill, open-design, deer-flow, ruflo, career-ops.