# falcon-mcp-server

> Use this tool when you need to establish Streamable HTTP transport for connecting AI agents and MCP clients. It provides a Python-based MCP server using the Falcon web framework, solving connectivity and communication problems between AI systems and clients. Ideal for use cases requiring efficient and scalable data exchange between AI agents and MCP clients.

Canonical page: https://skillsregistry.net/skills/falconry-falcon-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/falconry-falcon-mcp-server

## Description

A Python MCP server using the Falcon web framework, providing Streamable HTTP transport for connecting AI agents and MCP clients.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fh5fwbvkwg)
- **Repository:** <https://github.com/falconry/falcon-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "falconry-falcon-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/falconry-falcon-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/falconry-falcon-mcp-server/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt