AgentIndex icon
AgentIndex
mcp-hangar logo
mcp-hangar
★ 18
vs
sourcerykit logo
sourcerykit
★ 21

mcp-hangar vs sourcerykit

mcp-hangar: MCP Hangar is a self-hosted policy enforcement plane for your MCP server fleet, providing deterministic admission and egress policies, attributable audit, and SIEM export. It ensures tool integrity by enforcing tool-schema digest pinning, preventing unauthorized changes to tool descriptions.; sourcerykit: SourceryKit, also known as Provably SDK, is a Python library that integrates a deterministic evaluation layer into any Python agent. It records outbound HTTP calls, evaluates claims against trusted records, and enforces endpoint policies to ensure agents operate within defined boundaries.

01

TL;DR

mcp-hangar logo
mcp-hangarSecurity & Safety · ★ 18

Preventing unauthorized or malicious changes to LLM tool descriptions and behavior.

Read mcp-hangar full review →
sourcerykit logo
sourcerykitSecurity & Safety · ★ 21

Ensuring LLM agents adhere to pre-defined security policies and trusted endpoints.

Read sourcerykit full review →
02

Side-by-Side Comparison

Field
mcp-hangar logomcp-hangar
sourcerykit logosourcerykit
Category
Security & Safety
Security & Safety
Stars
★ 18
★ 21
License
MIT
NOASSERTION
Install Command
pip install mcp-hangar && mcp-hangar init -y
git clone [email protected]:ProvablyAI/provably-python-sdk.git && pip install -e ./provably-python-sdk
Updated
1d ago
3d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Policy Enforcement, Admission Control, Egress Control
Python SDK, LLM Agent, Verifiable Guardrails
03

Features

mcp-hangar logomcp-hangar
01L7 egress policy for LLM tools
02Tool-schema digest pinning to prevent unauthorized tool changes
03Auth & RBAC for secure tool access
04Attributable audit records for SIEM export
05Human-in-the-loop approvals for critical operations
sourcerykit logosourcerykit
01Intercept and Police outbound HTTP calls against trusted endpoints.
02Capture and Store all HTTP requests and responses into a Postgres database.
03Evaluate agent claims against proven indexed values using deterministic comparisons.
04Seamless integration with major LLM frameworks and SDKs like OpenAI, LangChain, and LlamaIndex.
04

Use Cases

mcp-hangar logomcp-hangar
↳Preventing unauthorized or malicious changes to LLM tool descriptions and behavior.
↳Implementing granular access control and permissions for different users or tenants accessing LLM tools.
↳Maintaining an attributable audit trail of all LLM tool interactions for compliance and security monitoring.
↳Gating sensitive or high-impact LLM tool operations with a human review and approval process.
sourcerykit logosourcerykit
↳Ensuring LLM agents adhere to pre-defined security policies and trusted endpoints.
↳Verifying the accuracy of claims made by AI agents based on their external interactions.
↳Building auditable AI systems where every external call and agent claim is recorded and verifiable.
↳Implementing verifiable guardrails for agents to prevent unauthorized access or data manipulation.
FAQ

FAQ

What is the difference between mcp-hangar and sourcerykit?
Both mcp-hangar and sourcerykit are in the Security & Safety category. mcp-hangar has 18 stars, while sourcerykit has 21 stars.
Which is better, mcp-hangar or sourcerykit?
The best choice depends on your use case. Choose mcp-hangar if Preventing unauthorized or malicious changes to LLM tool descriptions and behavior., and sourcerykit if Ensuring LLM agents adhere to pre-defined security policies and trusted endpoints..
Is mcp-hangar free or open source?
Yes, mcp-hangar is open source on GitHub (MIT).
Is sourcerykit free or open source?
Yes, sourcerykit is open source on GitHub (NOASSERTION).
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