Agent strategies collection that provide `Function Calling` and `ReAct` (Support `fetch and call tools` by `MCP` protocol through `HTTP with SSE` or
Agent strategies collection that provide Function Calling and ReAct (Support fetch and call tools by MCP protocol through HTTP with SSE or Streamable
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
{
"mcpServers": {
"server_name1": {
"transport": "sse",
"url": "http://127.0.0.1:8000/sse",
"headers": {},
"timeout": 50,
"sse_read_timeout": 50
},
"server_name2": {
"transport": "sse",
"url": "http://127.0.0.1:8001/sse"
},
"server_name3": {
"transport": "streamable_http",
"url": "http://127.0.0.1:8002/mcp",
"headers": {},
"timeout": 50
},
"server_name4": {
"transport": "streamable_http",
"url": "http://127.0.0.1:8003/mcp"
}
}
}Configuration as documented by the project. Restart the client after saving.
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Use the Supabase MCP server to inspect database schemas, query project data and retrieve docs through a project-scoped connection.
:heavy_exclamation_mark: This project builds a local, read-only MCP server. For fully remote MCP access, check out the first managed MCP platform
Explore and download AI agent blueprints as Agent Skills directories for coding agents
MCP server for Podman container management via the Podman REST API