TalkAPI
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@TalkAPIMake a GET request to https://httpbin.org/json"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
TalkAPI 🚀
Conversational API Testing via Model Context Protocol (MCP)
TalkAPI - Conversational API Testing
Built by RAJ
TalkAPI is an MCP (Model Context Protocol) server that revolutionizes API testing by replacing traditional tools like Postman with intelligent, conversational workflows. Instead of manually crafting requests, switching between applications, and managing authentication tokens, TalkAPI enables you to test your APIs through natural language conversations directly within Claude Desktop.
The server intelligently handles complex scenarios like authentication flows, token extraction, request chaining, and response validation—all through simple conversational prompts. Whether you're testing local development APIs, debugging authentication issues, or validating API contracts, TalkAPI transforms the tedious process of API testing into a seamless, conversational experience. The LLM automatically extracts tokens from login responses, adds them to subsequent requests, analyzes error messages to suggest fixes, and validates responses against JSON schemas—all without you having to write a single line of configuration code.

Example: Making API requests through Claude Desktop with automatic error correction
Features
make_request- HTTP request handler (GET, POST, PUT, PATCH, DELETE)decode_jwt- JWT token decoder with expiration checkingvalidate_json_schema- JSON schema validator for API responses
The LLM automatically handles token extraction, header management, and response analysis.
Related MCP server: Public API MCP Server
Installation
Install dependencies globally:
pip install -r requirements.txtTest the server:
python server.pyThe server should start and wait for connections. Press Ctrl+C to stop.
Setup Claude Desktop
Open Claude Desktop config file:
Windows:
%APPDATA%\Claude\claude_desktop_config.jsonmacOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonLinux:
~/.config/Claude/claude_desktop_config.json
Add this configuration (replace the path with your project location):
{
"mcpServers": {
"talk-api": {
"command": "python",
"args": ["C:\\Projects2\\TalkAPI\\server.py"],
"cwd": "C:\\Projects2\\TalkAPI"
}
}
}Important: Use absolute paths. On Windows, use double backslashes \\ or forward slashes /.
Restart Claude Desktop completely.
Verify connection: In Claude Desktop, go to Settings → Developer. You should see "talk-api" listed and connected.
Making Requests
Simply describe what you want in Claude Desktop chat. The LLM will use the tools automatically.
Examples
Simple GET request:
Make a GET request to https://httpbin.org/jsonTest local API:
Get all users from http://localhost:8000/api/usersLogin flow:
Login to http://localhost:8000/api/login with username 'admin' and password 'secret', then get my dashboardDecode JWT:
Decode this JWT token: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...Validate response:
Check if the response from /api/users matches a schema where each user has an id (integer) and name (string)Response Format
All responses include:
status_code- HTTP status coderesponse_time_ms- Response time in millisecondsheaders- Response headersbody- Response body (parsed JSON or text)analysis_hint- Debugging suggestions for errors
Troubleshooting
Server not connecting:
Verify Python path:
python --versionCheck file paths are absolute in config
Ensure dependencies are installed:
pip install -r requirements.txtRestart Claude Desktop after config changes
Module not found:
pip install -r requirements.txtServer disconnects:
Check Claude Desktop logs (Settings → Developer → Open Logs Folder)
Verify server starts manually:
python server.pyEnsure all imports work:
python -c "import tools; import utils"
Project Structure
TalkAPI/
├── server.py # Main MCP server
├── tools/ # Tool implementations
│ ├── make_request.py
│ ├── decode_jwt.py
│ └── validate_json_schema.py
├── utils.py # Utility functions
└── requirements.txt # DependenciesAuthor
RAJ - Built with ❤️ for the developer community
License
MIT
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- Flicense-qualityDmaintenanceThis MCP server enables intelligent API testing automation by combining RAG knowledge retrieval with tool execution capabilities. It allows QA engineers to perform natural language-driven API testing with contextual knowledge support.Last updated
- Alicense-qualityDmaintenanceTransforms OpenAPI specs into an MCP server, enabling dynamic API interaction through natural language with automatic authentication and endpoint discovery.Last updated131MIT
- Alicense-qualityDmaintenanceTransforms Swagger/OpenAPI documented APIs into conversational interfaces, enabling natural language interaction with APIs through an MCP server for use with AI assistants.Last updated4MIT
- Alicense-qualityDmaintenanceA standalone MCP server for API testing and management, allowing AI assistants to interact with RESTful APIs through natural language.Last updated1028MIT
Related MCP Connectors
MCP server for AI access to SmartBear tools, including BugSnag, Reflect, Swagger, PactFlow, QTM4J.
OCR, transcription, file extraction, and image generation for AI agents via MCP.
Official Microsoft MCP Server to query Microsoft Entra data using natural language
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/prakhar7824/TalkAPI'
If you have feedback or need assistance with the MCP directory API, please join our Discord server