Repository intelligence

punkpeye/awesome-mcp-servers

GitHub

A curated directory of Model Context Protocol (MCP) servers, organizing both official and experimental implementations across dozens of domains to help AI models securely connect with local and remote resources.

CLOUDM0N decision
WORTH TRYING
Trust PASS · 100/100
Good fit if

AI developers and system integrators seeking pre-built integrations to connect LLMs with databases, browser automation tools, developer APIs, or local environments.

Watch out for

Review deployment and security evidence before production adoption.

Practical intelligence

What matters before you adopt it

Best for
AI developers and system integrators seeking pre-built integrations to connect LLMs with databases, browser automation tools, developer APIs, or local environments.
Teams looking to quickly evaluate existing MCP tools, community platforms, tutorials, and clients for building agentic workflows.
Main trade-offs
Review deployment and security evidence before production adoption.
Why it stands out
Organizes integrations into over 50 specific categories, spanning code execution, databases, communication, and specialized domains.
Provides clear definitions and educational material distinguishing local integrations from cloud-based integrations.
Links directly to community channels, developer tutorials, and client implementation lists to accelerate onboarding.
Trust & CVEs

Security evidence without the noise

Trust remains a decision signal; CVEs and scanner evidence explain what is driving the risk.

Security findings
Scanner unavailable
Critical
High
Medium
Low
View trust evidence & security findings
Why this score
No trust rationale was stored for this scan.
CLOUDM0N findings
Architecture from code1 modules · 0 edges
Structural evidence

Modules and dependency edges extracted from repository code. This is code evidence, not README inference.

Code files
0
Modules
1
Dependency edges
0
Core modules
Dependency flow
No dependency edges were extracted.
Detected languages
Detected frameworks
Architecture evidence details
flowchart TD
    %% repo — high-level architecture (DRAFT, refine me)
Evidence, security & integrations
Integrations
Security notes
Still unknown
The README does not state any trade-offs or limitations of using this list or the listed integrations.
Does not provide guidelines on how servers are vetted, tested, or approved for inclusion in the list.
Does not specify licensing models or security compliance checks for the listed third-party servers.
Agent handoff
Use with any agent
JSON API
Alternatives

Nearby repositories worth comparing before adoption.

Compare top options →
Chanakya-Local-Friend
samosa-ai-com/Chanakya-Local-Friend
45
Fit

Chanakya is an advanced, open-source, and self-hostable voice assistant designed for privacy, power, and flexibility. It leverages local AI/ML models to ensure your data stays with you. It Integrates with 1000+ third-party MCP servers including Home Assistant.

Trust REVIEW · 45
Compare →
agentic-awesome-skills
sickn33/agentic-awesome-skills
23
Fit

AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,005+ agentic skills. Includes CLI, local MCP, catalog, plugins, and Workbench.

Trust FAIL · 0
Compare →
activepieces
activepieces/activepieces
20
Fit

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Trust FAIL · 0
Compare →