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heddle
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heddle

Active·★ 14·MIT·Updated 2026-09-06

Heddle provides a policy-and-trust layer for Model Context Protocol (MCP) tool servers, enabling secure and declarative exposure of APIs as AI agent tools. It offers built-in security features such as trust enforcement, credential brokering, and tamper-evident audit logging, alongside containerized sandboxing and AI-powered configuration generation.

#AI Agent Security#Policy Enforcement#Declarative Configuration#Model Context Protocol (MCP)#Credential Management#Audit Logging
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Guides
#Container Sandboxing
#Tool Orchestration
$ Install
$ git clone https://github.com/goweft/heddle.git && cd heddle && python -m venv venv && source venv/bin/activate && pip install -e ".[dev]"
↗ Visit site★ GitHub
01

Features

01Declarative YAML Tool Configuration
02Comprehensive Security Controls
03AI-Powered Configuration Generation
04Containerized Sandboxing
02

Compatibility

Python
Runtime
Verified via docs
Docker
Sandboxing
Verified via docs
Model Context Protocol (MCP)
Protocol
Verified via docs
Ollama
LLM Runtime
Verified via docs
Claude Desktop
Integration
Verified via docs
03

Quick start

1
$ git clone https://github.com/goweft/heddle.git
2
$ cd heddle
3
$ python -m venv venv
4
$ source venv/bin/activate
5
$ pip install -e ".[dev]"
04

Use cases

↳Securely Exposing APIs to LLMs
↳Building AI Agent Tool Meshes
↳Automating Daily Operations with AI
↳Managing GPU Resources for LLMs
05

Alternatives

⚡Top VS:
VSshellgate★15→VSmcp-hangar★18→VSJanuScope★32→VS

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On this page
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See all alternatives →
goweft /
heddle
↗

Heddle — The policy-and-trust layer for MCP tool servers. Turn YAML configs into validated, policy-enforced MCP tools.

14MIT
Last commit1mo ago
StatusActive
CategorySecurity & Safety
Links
Documentation↗Discussion↗Issues↗Releases↗
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