About mcp-server-find
mcp-server-find helps AI agents discover, assess, and install MCP servers. It gathers server listings from the Official MCP Registry, Glama, and Smithery, with search, category browsing, details, and install configuration tools.
Key features
- 01Search MCP servers by keyword
- 02View server details
- 03Generate platform install configurations
- 04Browse server categories
- 05Aggregate listings from three sources
Use cases
- 01Find servers matching a development need
- 02Review a server before installation
- 03Generate configuration for installing a server
- 04Browse servers by category
MCP support
This MCP server exposes tools for searching and browsing server listings, retrieving details, and generating installation configuration. Its data comes from the Official MCP Registry, Glama, and Smithery.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEmcp-server-find
MCP server discovery - find and install MCP servers from Official Registry, Glama, and Smithery.
mcp-name: io.github.daedalus/mcp-server-find
Install
pip install mcp-server-find
MCP Server
mcp-server-find is an MCP server that helps AI agents discover, evaluate, and install other MCP servers. It aggregates data from:
- Official MCP Registry
- Glama (glama.ai)
- Smithery (registry.smithery.ai)
Claude Desktop
{
"mcpServers": {
"mcp-server-find": {
"command": "python",
"args": ["-m", "mcp_server_find"]
}
}
}
Usage
from mcp_server_find import search_servers, get_server_details, get_install_config
# Initialize database
from mcp_server_find.db import init_database
conn = init_database()
# Search for MCP servers
results = search_servers(conn, "postgres", 10)
# Get server details
detail = get_server_details(conn, "io.modelcontextprotocol/filesystem")
# Generate install config
config = get_install_config(conn, "io.modelcontextprotocol/filesystem", "claude-desktop")
MCP Tools
search_mcp_servers: Search for MCP servers by keywordget_server_details: Get detailed server informationget_install_config: Generate install config for a platformbrowse_categories: Browse MCP server categories
API
Core Functions
init_database(db_path?: str) -> sqlite3.Connection- Initialize SQLite with FTS5search_servers(conn, query, limit?, filters?) -> list[SearchResult]- Search MCP serversget_server_details(conn, name_or_slug) -> ServerDetail | None- Get detailed server infoget_install_config(conn, name_or_slug, platform) -> InstallConfig- Generate install configlist_categories(conn) -> list[Category]- List all categoriesget_servers_by_category(conn, category, limit?) -> list[dict]- Get servers in category
Development
git clone https://github.com/daedalus/mcp-server-find.git
cd mcp-server-find
pip install -e ".[test]"
# Run tests
pytest
# Format
ruff format src/ tests/
# Lint
ruff check src/ tests/
# Type check
mypy src/
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.