AI-Agent-Hub/mcp-marketplace
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AI-Agent-Hub/mcp-marketplace
Server Summary
Browse MCP tools
Select and install MCP tools
Manage tool usage
Fetch metadata from APIs
Integrate diverse AI capabilities
Category browsing
Pagination support
Optimize tool selection
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WeChat
Visit the website MCP Tool Use Agent App to explore MCP Servers with sota agentic AI Search/Deep Research, Finance Data,Chart Creation, Excel Spreadsheet/Powerpoint usage.
Open MCP Marketplace is an open source project aims to make MCP Servers integration into your AI Agent Workflow Easier.
Domain | Related MCP Server | Demo |
---|---|---|
Office File Agent | Excel Spreadsheet, Powerpoint, PDF, etc | Demo |
AI Search/Deep Research | Bing/Google Custom/Perplexity/Tavily/Firecrawl | Demo |
Map Trip Planning | GoogleMap, Amap(Gaode), BaiduMap, etc. | Demo |
Browser Usage | Playwright, Puppeteer, etc. | Demo |
Chart,Graph,Image | everart,mcp-server-charts(AntV),canva-mcp | Demo |
Example: Route Planning using Google Map MCP
q=Find the best route from JFK Airport to Times Square in New York
Example: Office Agent Excel Spreadsheet and Powerpoint Creation Usage
q=Write below information to an excel spreadsheet. Derek: male, graduated in years 2019, IT department, Jenifer: female graduated in 2024 Sales and Marketing department, Alan: male, graduated in 2021 in R&D department, Paul: mail, graduated in 2015, Staff in Operations department. Please formalize the data into three columns: name, graduation year and department. Then use spreadsheet formula to calculate the percentage of employees graduated within 3 years.
Excel Spreadsheet and Powerpoint Office Agent
Exmaple: Chart Plotting
q=Plot a pie chart showing 25% of employees graduated within 3 years and 75% graduated more than 3 years ago.
Excel Spreadsheet and Powerpoint Office Agent
Example: AI Search Deep Research
Visit MCP Tool Use App
Example: MCP Admin and Playground To Manage Tools and Servers
Visit MCP Tool Use App
MCP Server Public Index of Tools Schema and Config file Dataset Collection of MCP Servers Tool/Function Call Schemas from 5000+ MCP servers, Useful for Tools RAG, Tools Dispatcher research and R&D. You can search route planning or "map" keywords from raw schema files. Welcome to add your config to the index. MCP Tool Schema
MCP Marketplace Web Integration, See Web Demo and Video how to integrate the Open MCP Marketplace to Your AI Search Engine or Agent Workflow.
See MCP Tool Schema for details.
Collected tools schema from google map mcp
{"name": "maps_geocode", "description": "Convert an address into geographic coordinates", "input_schema": {"type": "object", "properties": {"address": {"type": "string", "description": "The address to geocode"}}, "required": ["address"]}}
{"name": "maps_directions", "description": "Get directions between two points", "input_schema": {"type": "object", "properties": {"origin": {"type": "string", "description": "Starting point address or coordinates"}, "destination": {"type": "string", "description": "Ending point address or coordinates"}, "mode": {"type": "string", "description": "Travel mode (driving, walking, bicycling, transit)", "enum": ["driving", "walking", "bicycling", "transit"]}}, "required": ["origin", "destination"]}}
MCP Marketplace Browse and Pagination of MCP Servers Demo
Endpoint | API | Website |
---|---|---|
deepnlp.org | https://www.deepnlp.org/api/mcp_marketplace/v1 | https://www.deepnlp.org/doc/mcp_marketplace |
pulsemcp.com | https://api.pulsemcp.com/v0beta/servers | https://www.pulsemcp.com/api |
For official documentation of MCP Marketplace API, please check https://www.deepnlp.org/doc/mcp_marketplace , Python SDK and Typescript SDK (WIP)
Installation
pip install mcp-marketplace
Usage
Search MCP Server by Meta Information by unique id, query or category
import mcp_marketplace as mcpm
## endpoint: deepnlp
mcpm.set_endpoint("deepnlp")
result = mcpm.search(query="map", page_id=0, count_per_page=20, mode="dict")
print (result)
server_id = "financial-datasets/mcp-server"
result2 = mcpm.search(query="financial datasets", count_per_page=20, offset=0)
print (result2)
## Search By Unique ID: e.g. github {owner_name}/{repo_name}
result_id = mcpm.search(id="puppeteer/puppeteer", mode="list", page_id=0, count_per_page=100, config_name="deepnlp")
# search by batch query
query_list = ["map", "navigation", "route planning"]
params_list = [{"query": query, "page_id":0, "count_per_page":50} for query in query_list]
results = mcpm.search_batch(params_list)
Curl Endpoint
curl https://www.deepnlp.org/api/mcp_marketplace/v1/server/google-maps/google-maps
Result
{
"total_hits": 1,
"id": "google-maps/google-maps",
"items": [{
"content_name": "Google Maps",
"publisher_id": "pub-google-maps",
"website": "https://github.com/modelcontextprotocol/servers/tree/main/src/google-maps",
"review_cnt": "2",
"rating": "4.5",
"description": "Google Maps Location services, directions, and place details\r\n\r\n# Google Maps MCP Server\r\n\r\nMCP Server for the Google Maps API.\r\n\r\n## Tools\r\n\r\n1. \\`maps_geocode\\`\r\n\r\n - Convert address to coordinates\r\n - Input: \\`address\\` (string)\r\n - Returns: location, formatted_address, place_id\r\n\r\n2. \\`maps_reverse_geocode\\`\r\n\r\n - Convert coordinates to address\r\n - Inputs:\r\n - \\`latitude\\` (numb",
"ext_info": {
"tools": []
},
"subfield": "MAP",
"field": "MCP SERVER",
"id": "google-maps/google-maps",
"content_tag_list": "official",
"config": [],
"thumbnail_picture": "https://118.190.154.215/scripts/img/ai_service_content/b7fe82a3ab985ce1a953f7b4ad9c5e01.jpeg"
}]
}
import mcp_marketplace as mcpm
server_id = "google-maps/google-maps"
result = mcpm.list_tools(id=server_id, config_name="deepnlp_tool")
server_id = "puppeteer/puppeteer"
result = mcpm.list_tools(id=server_id, config_name="deepnlp_tool")
Curl Endpoint
curl https://www.deepnlp.org/api/mcp_marketplace/v1/tools/google-maps/google-maps
{"id":"/google-maps/google-maps","tools":[{"name":"maps_geocode","description":"Convert an address into geographic coordinates","input_schema":{"type":"object","properties":{"address":{"type":"string","description":"The address to geocode"}},"required":["address"]}},{"name":"maps_reverse_geocode","description":"Convert coordinates into an address","input_schema":{"type":"object","properties":{"latitude":{"type":"number","description":"Latitude coordinate"},"longitude":{"type":"number","description":"Longitude coordinate"}},"required":["latitude","longitude"]}},{"name":"maps_search_places","description":"Search for places using Google Places API","input_schema":{"type":"object","properties":{"query":{"type":"string","description":"Search query"},"location":{"type":"object","properties":{"latitude":{"type":"number"},"longitude":{"type":"number"}},"description":"Optional center point for the search"},"radius":{"type":"number","description":"Search radius in meters (max 50000)"}},"required":["query"]}},{"name":"maps_place_details","description":"Get detailed information about a specific place","input_schema":{"type":"object","properties":{"place_id":{"type":"string","description":"The place ID to get details for"}},"required":["place_id"]}},{"name":"maps_distance_matrix","description":"Calculate travel distance and time for multiple origins and destinations","input_schema":{"type":"object","properties":{"origins":{"type":"array","items":{"type":"string"},"description":"Array of origin addresses or coordinates"},"destinations":{"type":"array","items":{"type":"string"},"description":"Array of destination addresses or coordinates"},"mode":{"type":"string","description":"Travel mode (driving, walking, bicycling, transit)","enum":["driving","walking","bicycling","transit"]}},"required":["origins","destinations"]}},{"name":"maps_elevation","description":"Get elevation data for locations on the earth","input_schema":{"type":"object","properties":{"locations":{"type":"array","items":{"type":"object","properties":{"latitude":{"type":"number"},"longitude":{"type":"number"}},"required":["latitude","longitude"]},"description":"Array of locations to get elevation for"}},"required":["locations"]}},{"name":"maps_directions","description":"Get directions between two points","input_schema":{"type":"object","properties":{"origin":{"type":"string","description":"Starting point address or coordinates"},"destination":{"type":"string","description":"Ending point address or coordinates"},"mode":{"type":"string","description":"Travel mode (driving, walking, bicycling, transit)","enum":["driving","walking","bicycling","transit"]}},"required":["origin","destination"]}}]}
API
GET /api/mcp_marketplace/v1/server/${owner_id}/${repo_name}
Put Badge on your homepage markdown to track MCP Servers User Reviews and Ratings, such as .
change google-maps/google-maps to your MCP "owner_name"/"repo_name"
](https://www.deepnlp.org/store/ai-agent/mcp-server/pub-${owner_name}/${repo_name})
## google map
](https://www.deepnlp.org/store/ai-agent/mcp-server/pub-google-maps/google-maps)
(WIP) Here is a diagram of how MCP Marketplace is integrated to your Agent Workflow
graph TD
Start --> Search[Query Plan]
Search[Query Plan] --> QueryPlanning[Query Planning Agent]
QueryPlanning --> SearchTask1[Search]
SearchTask1 --> DocList[DocList]
DocList --> Generation
Search[Query Plan] --> ToolDispatcher[Tool Dispatcher Agent]
ToolDispatcher --> Task1[MCP Server 1]
ToolDispatcher --> Task2[MCP Server 2]
ToolDispatcher --> Task3[MCP Server 3]
Task1 --> Tool1[Tool List 1]
Task2 --> Tool2[Tool List 2]
Task3 --> Tool3[Tool List 3]
Tool1 --> LLM[LLM Function Call Agent]
Tool2 --> LLM[LLM Function Call Agent]
Tool3 --> LLM[LLM Function Call Agent]
LLM --> ToolSelection
ToolSelection --> ToolResult[Tool Execution Result]
ToolResult --> Generation