Meta DiscoverySAFE
Meta-MCP Server that acts as a tool discovery and provisioning service for the Model Context Protocol
Overview
From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.
[](https://github.com/wojtyniak/mcp-mcp/releases/latest) [](https://www.python.org/downloads/) [](LICENSE) [](https://github.com/wojtyniak/mcp-mcp/actions/workflows/update-data.yml) [](https://pypi.org/project/mcp-mcp/)
MCP-MCP is a Meta-MCP Server that acts as a tool discovery and provisioning service for the Model Context Protocol (MCP). When an AI assistant needs a capability that isn't currently available, it can ask MCP-MCP to discover and suggest appropriate MCP servers from a comprehensive database of over a thousand servers aggregated from multiple curated sources.
Think of it as a "phone book" for MCP servers - one tool to find all other tools.
🗃️ 2,874+ MCP Servers Available
MCP-MCP provides access to a comprehensive database aggregated from multiple curated sources, including:
- Official MCP Servers (modelcontextprotocol/servers)
- Community Collections (Punkpeye & Appcypher awesome lists)
- Intelligent Deduplication ensures no duplicates across sources
The database is automatically updated every 3 hours with the latest servers from the community.
Motivation
Agents Just Wanna Have Tools
- Agents know what they need: AI assistants can clearly articulate requirements like "check domain availability" or "get weather data"
- Web search isn't always enough: Generic search results don't alw
20b0366053edOBSERVED · 2026-10-09Connect
Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control.
claude mcp add mcp-mcp -- uvx mcp-mcp
{
"mcpServers": {
"mcp-mcp": {
"command": "uvx",
"args": [
"mcp-mcp"
]
}
}
}Exposed tools (1)
1 read · 0 write · 0 destructive.
| Tool | Risk | Description |
|---|---|---|
find_mcp_tool | read |
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | WARN |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- declared (5 observation(s))
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (3)
streamable-http
"http://127.0.0.1",
"https://127.0.0.1:8000",
Gates applied: no_behavioural_pass.
20b0366053edfull audit observations/trust-audit/mcp-server/wojtyniak__meta-discovery.json · Report an issue / request a re-scanAudit history
Every audit this server has had. A grade with a past is a grade somebody is still checking.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-09 | 20b0366053ed | SAFE | B | 89 | first audit |
Questions
What is the Meta Discovery MCP server?
Meta-MCP Server that acts as a tool discovery and provisioning service for the Model Context Protocol
What tools does Meta Discovery expose?
1 in total: 1 read-only, 0 that write, and 0 that can delete or overwrite. Every one is listed on this page with its risk.
Is Meta Discovery safe to connect to an agent?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean server reads B.
What credentials does Meta Discovery need?
No credential environment variables were found in its source, so it appears to need none.
How does Meta Discovery run?
It speaks streamable-http, so it runs as a service you connect to over the network. It is published on PyPI as mcp-mcp.
How current is this page?
The grade is for one exact copy of the source (20b0366053ed), read on 2026-10-09. The repository is watched and re-audited when it changes.