mcp-function-app-tester
The mcp-function-app-tester server allows you to test and interact with Azure Function App endpoints running locally in your development environment. With this server, you can:
Test Function App endpoints using HTTP methods: GET, POST, PUT, DELETE
Send optional request bodies for POST/PUT requests
Add custom headers to requests
Obtain detailed response information for debugging
Support various authentication methods: Basic Authentication, Bearer Token, API Key
Configure authentication via environment variables
Access endpoints at the base URL:
http://localhost:7071/apiSpecify relative endpoint paths (e.g.,
/users)
The MCP server is built with TypeScript, but it doesn't integrate with TypeScript as a service.
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., "@mcp-function-app-testertest GET endpoint /users with bearer token auth"
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.
MCP Function App Tester
A TypeScript-based MCP server that enables testing of Azure Function Apps through Cline. This tool allows you to test and interact with Function App endpoints directly from your development environment.
Installation
npm install dkmaker-mcp-function-app-testerRelated MCP server: MySQL Server MCP Server
Features
Test Function App endpoints with different HTTP methods
Support for GET, POST, PUT, and DELETE requests
Detailed response information
Custom header support
Request body handling for POST/PUT methods
Authentication support:
Basic Authentication (username/password)
Bearer Token Authentication
API Key Authentication (custom header)
Authentication
The server supports two authentication methods that can be configured via environment variables:
Basic Authentication
Set both environment variables to enable Basic Authentication:
AUTH_BASIC_USERNAME=your-username
AUTH_BASIC_PASSWORD=your-passwordBearer Token
Set this environment variable to enable Bearer Token authentication:
AUTH_BEARER=your-tokenAPI Key
Set both environment variables to enable API Key authentication:
AUTH_APIKEY_HEADER_NAME=X-API-Key # The header name to use (e.g., X-API-Key, api-key, etc.)
AUTH_APIKEY_VALUE=your-api-key # The actual API key valueNote: Authentication precedence order:
Basic Authentication (if username and password are set)
Bearer Token (if token is set and Basic Auth is not configured)
API Key (if header name and value are set, and no other auth is configured)
Usage
Once installed, you can use the Function App Tester through Cline. The server provides tools to test endpoints at the base URL: http://localhost:7071/api
Example usage:
// Test a GET endpoint
{
"method": "GET",
"endpoint": "/users"
}
// Test a POST endpoint with body
{
"method": "POST",
"endpoint": "/users",
"body": {
"name": "John Doe",
"email": "john@example.com"
}
}
// Test with custom headers
{
"method": "GET",
"endpoint": "/secure/data",
"headers": {
"Authorization": "Bearer token123"
}
}Development
Clone the repository:
git clone https://github.com/dkmaker/mcp-function-app-tester.git
cd mcp-function-app-testerInstall dependencies:
npm installBuild the project:
npm run buildFor development with auto-rebuild:
npm run watchLicense
This project is licensed under the MIT License - see the LICENSE file for details.
Available Tools
1 tooltest_endpointC
Test a Function App endpoint and get detailed response information. The endpoint will be prepended to the base url which is: http://localhost:7071/api
| Name | Required | Description | Default |
|---|---|---|---|
| body | No | Optional request body for POST/PUT requests | |
| endpoint | Yes | Endpoint path (e.g. "/users"). Will be appended to base URL. | |
| headers | No | Optional request headers | |
| method | Yes | HTTP method to use |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It mentions testing an endpoint and getting 'detailed response information,' but lacks critical behavioral details such as error handling, timeout behavior, authentication requirements, rate limits, or what 'detailed' entails. This is insufficient for a tool that performs HTTP operations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and front-loaded, consisting of two sentences that directly state the tool's purpose and base URL. There is no wasted text, though it could be slightly more informative without sacrificing brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of HTTP testing (4 parameters, no output schema, no annotations), the description is incomplete. It lacks details on response format, error cases, or behavioral traits, leaving significant gaps for an agent to understand how to use the tool effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema fully documents all parameters. The description adds minimal value by noting the base URL context ('http://localhost:7071/api'), but does not provide additional semantics beyond what the schema already covers. This meets the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Test a Function App endpoint and get detailed response information.' It specifies the verb ('test') and resource ('Function App endpoint'), and mentions the base URL context. However, with no sibling tools, it cannot differentiate from alternatives, so it doesn't reach the highest score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, prerequisites, or constraints. It only states what the tool does without context for its application, leaving the agent without usage direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
1 tool update
v1.0.0- First observed
test_endpoint
TDQS
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool has a clear, distinct purpose that cannot be confused with any other tool in this set.
The naming follows a consistent verb_noun pattern (test_endpoint). With only one tool, there is no inconsistency to evaluate, and the naming is clear and appropriate for its function.
A single tool is too few for a server named 'mcp-function-app-tester', which suggests broader testing capabilities. This minimal set feels thin and incomplete for the implied scope of testing Function App endpoints comprehensively.
The tool surface is severely incomplete for testing Function App endpoints. It only provides a basic test endpoint function, lacking essential operations like listing endpoints, managing test configurations, validating responses, or handling different HTTP methods and authentication scenarios.
Maintenance
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