What can swagger-mcp-tool do?

openapi/swagger document parsing and schema extraction, endpoint metadata query interface, parameter schema extraction and validation, security scheme and authentication requirement extraction, mcp tool registration and function schema generation, response schema documentation and type inference, api documentation generation from specifications

swagger-mcp-tool

MCP ServerFree

Swagger MCP tool that provides Swagger/OpenAPI document query capabilities for AI assistants and MCP clients.

Open Source

/ 100

7 capabilities

Capabilities7 decomposed

openapi/swagger document parsing and schema extraction

Medium confidence

Parses OpenAPI 3.0 and Swagger 2.0 documents (JSON/YAML formats) into structured schema representations, extracting endpoint definitions, request/response schemas, authentication methods, and parameter specifications. Uses a document-agnostic parser that normalizes both OpenAPI and Swagger formats into a unified internal representation, enabling downstream tools to query against heterogeneous API specifications without format-specific logic.

Solves for

I need to programmatically extract all endpoints from a Swagger file to understand an API's surfaceI want to query what parameters a specific endpoint accepts without manually reading the specI need to understand the request/response schema for an API endpoint to generate correct function callsI want to extract authentication requirements from an OpenAPI document to configure API clients

Best for

AI assistants and LLM agents that need to understand arbitrary REST APIs

MCP servers that expose API documentation as queryable resources

Developers building API discovery tools or code generators from specs

Requires

OpenAPI 3.0.x or Swagger 2.0 specification document

Node.js 14+ runtime

Valid JSON or YAML syntax in the specification file

Limitations

No validation of schema correctness — malformed OpenAPI documents may parse partially or produce undefined behavior

Limited support for OpenAPI extensions (x-* fields) — only standard spec fields are guaranteed to be extracted

No resolution of external $ref references — circular or remote schema references may not be fully dereferenced

What makes it unique

Implements format-agnostic parsing that normalizes both OpenAPI 3.0 and Swagger 2.0 into a unified query interface, allowing MCP clients to work with heterogeneous API specs without conditional logic per format version

vs alternatives

Simpler than full OpenAPI validator libraries (like swagger-parser) by focusing on extraction for LLM consumption rather than comprehensive validation, reducing dependency bloat in MCP server contexts

endpoint metadata query interface

Medium confidence

Exposes a queryable interface to retrieve metadata about specific API endpoints (path, HTTP method, summary, description, tags, deprecation status, security requirements). Implements a lookup mechanism that maps endpoint identifiers to their full specification, enabling MCP tools to answer questions like 'what does GET /users/{id} do?' without scanning the entire document. Likely uses indexed lookups or path-based routing to achieve O(1) or O(log n) query performance.

Solves for

I want to look up what a specific API endpoint does given its path and methodI need to check if an endpoint is deprecated before generating a function callI want to retrieve the human-readable description of an endpoint to include in generated documentationI need to find all endpoints tagged with 'authentication' or 'user-management'

Best for

LLM agents that need to dynamically understand API capabilities at runtime

Code generators that produce API client libraries from specs

Interactive API explorers or documentation tools

Requires

Parsed OpenAPI/Swagger document in memory

Endpoint path and HTTP method to query

Node.js 14+ runtime

Limitations

Query interface is likely read-only — no mutation or schema modification capabilities

No full-text search across descriptions — queries are typically path/method/tag based

Performance degrades with very large OpenAPI documents (1000+ endpoints) if indexing is not optimized

What makes it unique

Provides a lightweight query interface optimized for LLM consumption, focusing on the minimal metadata needed for function calling (path, method, description) rather than the full OpenAPI spec, reducing token overhead in prompt context

vs alternatives

More efficient than passing raw OpenAPI documents to LLMs because it pre-indexes endpoints and returns only relevant metadata, reducing context window usage compared to tools that require full spec parsing by the model

parameter schema extraction and validation

Medium confidence

Extracts parameter definitions (path, query, header, cookie, body) from endpoint specifications and provides their JSON Schema representations, including type constraints, required flags, default values, and validation rules. Implements schema dereferencing to resolve $ref pointers within parameter definitions, enabling downstream tools to understand what inputs an endpoint accepts. Supports both Swagger 2.0 (parameters array) and OpenAPI 3.0 (parameters + requestBody) parameter models.

Solves for

I need to know what query parameters a GET endpoint accepts and their typesI want to understand the request body schema for a POST endpoint to generate correct payloadsI need to validate user input against an endpoint's parameter schema before making an API callI want to generate function signatures that match an API endpoint's parameter requirements

Best for

Code generators producing type-safe API client libraries

LLM agents that need to validate inputs before making API calls

API testing frameworks that auto-generate test cases from specs

Requires

Parsed OpenAPI/Swagger document

Endpoint path and HTTP method to extract parameters for

Node.js 14+ runtime

Limitations

JSON Schema validation is limited to standard keywords — custom validation rules (e.g., regex patterns) may not be fully enforced

No support for complex discriminator patterns (oneOf/anyOf with discriminator fields) — may return ambiguous schema

External $ref resolution may fail for remote schemas — only local references are guaranteed to work

What makes it unique

Normalizes parameter representation across Swagger 2.0 and OpenAPI 3.0 formats, converting Swagger's flat parameters array into OpenAPI 3.0's more structured parameter + requestBody model, allowing unified downstream processing

vs alternatives

Lighter-weight than full JSON Schema validators because it focuses on extraction and basic schema representation rather than comprehensive validation, suitable for embedding in MCP servers with minimal dependencies

security scheme and authentication requirement extraction

Medium confidence

Parses security definitions (Swagger 2.0) or security schemes (OpenAPI 3.0) and maps them to endpoints, extracting authentication types (API key, OAuth2, HTTP Basic, OpenID Connect, mutual TLS) and their configuration. Implements endpoint-level security requirement resolution, determining which authentication methods are required for each endpoint and whether they can be overridden. Supports both global security definitions and endpoint-specific overrides.

Solves for

I need to know what authentication method an endpoint requires before making a callI want to extract OAuth2 configuration (token URL, scopes) to set up authentication flowsI need to determine if an endpoint requires an API key and where to pass it (header, query, cookie)I want to check if an endpoint has optional authentication or requires it

Best for

API client generators that need to configure authentication automatically

LLM agents that need to understand security requirements before making API calls

Security auditing tools that analyze API authentication coverage

Requires

Parsed OpenAPI/Swagger document with security definitions

Endpoint path and HTTP method to extract security requirements for

Node.js 14+ runtime

Limitations

No validation of OAuth2 endpoints — assumes token URLs and scopes are correctly specified

Limited support for complex security flows (e.g., multi-step OAuth with PKCE) — only basic scheme extraction

No runtime credential management — only extracts configuration, doesn't handle token storage or refresh

What makes it unique

Implements endpoint-level security requirement resolution that accounts for both global and endpoint-specific security overrides, allowing precise determination of which auth methods apply to each endpoint without manual filtering

vs alternatives

More focused than general OpenAPI validators because it specifically extracts security metadata for LLM consumption, avoiding the overhead of full security policy validation while providing the minimal information needed for auth configuration

mcp tool registration and function schema generation

Medium confidence

Converts OpenAPI endpoint specifications into MCP-compatible tool definitions with JSON Schema function signatures. Implements automatic schema generation that maps endpoint parameters, request bodies, and responses into MCP's function calling format, enabling MCP clients to invoke API endpoints as native tools. Handles the translation between OpenAPI parameter models and MCP's unified function parameter schema, including type mapping and constraint preservation.

Solves for

I want to expose an API as a set of MCP tools that an LLM can call directlyI need to generate function schemas for MCP that match an API's endpoint signaturesI want to allow an AI assistant to discover and call API endpoints without custom integration codeI need to map OpenAPI schemas to MCP's function calling format automatically

Best for

MCP server developers exposing REST APIs as callable tools

Teams building AI assistants that need to integrate with multiple APIs

Platforms that auto-generate MCP tools from API specifications

Requires

Parsed OpenAPI/Swagger document

MCP SDK or compatible runtime

Node.js 14+ runtime

Limitations

Function schema generation may lose some OpenAPI nuances (e.g., complex discriminators, conditional schemas) when mapping to MCP format

No automatic request/response transformation — MCP tools receive raw endpoint parameters and return raw responses

Limited support for streaming or long-running operations — MCP tool model assumes synchronous request/response

What makes it unique

Automates the translation from OpenAPI specifications to MCP tool definitions, eliminating manual schema mapping and allowing dynamic tool registration from API specs without hardcoded tool definitions

vs alternatives

Reduces boilerplate compared to manually defining MCP tools for each API endpoint, enabling rapid integration of new APIs by simply providing their OpenAPI spec rather than writing custom tool registration code

response schema documentation and type inference

Medium confidence

Extracts response schemas from endpoint specifications (HTTP status codes, content types, schema definitions) and provides structured documentation of what an endpoint returns. Implements schema dereferencing for response bodies, resolving $ref pointers to provide complete type information. Supports multiple response schemas per endpoint (different schemas for 200, 400, 404, etc.) and content type negotiation (application/json, application/xml, etc.).

Solves for

I need to understand what data structure an API endpoint returnsI want to generate TypeScript types from API response schemasI need to know what error responses an endpoint can return and their structureI want to document the response format for an endpoint in generated API documentation

Best for

Code generators producing type-safe API client libraries

API documentation generators

LLM agents that need to understand response formats before making calls

Requires

Parsed OpenAPI/Swagger document

Endpoint path and HTTP method to extract response schemas for

Node.js 14+ runtime

Limitations

No runtime response validation — only provides schema definitions, doesn't validate actual responses

Complex schema features (discriminators, conditional schemas) may not be fully represented in extracted schemas

No support for response transformation or mapping — returns raw schema as defined in spec

What makes it unique

Provides status-code-aware response schema extraction, allowing separate schema definitions per HTTP status code (e.g., 200 success vs 400 error), enabling precise type generation for different response scenarios

vs alternatives

More granular than generic schema extractors because it preserves status-code-specific response definitions, allowing generated clients to handle different response types correctly rather than assuming a single response schema

api documentation generation from specifications

Medium confidence

Generates human-readable documentation from parsed OpenAPI/Swagger specifications, including endpoint descriptions, parameter documentation, example requests/responses, and authentication requirements. Implements a documentation template system that formats extracted metadata into markdown or HTML output. Supports customization of documentation style and content inclusion (e.g., include examples, include deprecated endpoints).

Solves for

I want to generate API documentation automatically from a Swagger fileI need to create markdown documentation that describes all endpoints and their parametersI want to include example requests and responses in generated documentationI need to document authentication requirements and security schemes for API users

Best for

API teams automating documentation generation from specs

Documentation generators that consume OpenAPI specs

Teams maintaining multiple API versions that need synchronized documentation

Requires

Parsed OpenAPI/Swagger document

Node.js 14+ runtime

Optional: template files for custom documentation format

Limitations

Documentation generation is template-based — customization requires template modification

No support for custom documentation sections or annotations beyond OpenAPI spec

Example generation is basic — uses schema defaults rather than realistic sample data

What makes it unique

Implements template-driven documentation generation that separates content extraction from formatting, allowing different documentation styles (markdown, HTML, custom) from the same OpenAPI spec without re-parsing

vs alternatives

Simpler than full documentation platforms (like Swagger UI) because it generates static documentation artifacts rather than interactive explorers, suitable for embedding in CI/CD pipelines and version control

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

Related Artifactssharing capabilities

Artifacts that share capabilities with swagger-mcp-tool, ranked by overlap. Discovered automatically through the match graph.

Framework38

swagger-autogen

This module performs automatic construction of Swagger documentation. It can identify the endpoints and automatically capture methods such as get, post, put, and so on. It also identifies paths, routes, middlewares, response status codes, parameters in th

request-parameter-extraction-from-routesswagger-specification-generation-and-outputtypescript-type-annotation-supportautomatic-endpoint-discovery-from-express-routes

4 shared capabilities

MCP Server21

OpenAPI Schema Explorer

** - Token-efficient access to OpenAPI/Swagger specs via MCP Resources

endpoint operation metadata extraction and servingopenapi spec validation and normalization for mcp serving

2 shared capabilities

MCP Server22

Gentoro

** - Gentoro generates MCP Servers based on OpenAPI specifications.

openapi specification parsing and validationautomatic mcp tool schema inference and registration

2 shared capabilities

MCP Server23

openapi-mcp-server

MCP server for interacting with openapisearch.com API

openapi schema metadata extraction and formatting

1 shared capability

Product37

Mintlify

AI documentation platform — markdown to beautiful docs, AI search, API playground, analytics.

openapi/swagger schema parsing and interactive documentation generation

1 shared capability

MCP Server30

openapi-mcp-generator

A tool that converts OpenAPI specifications to MCP server

openapi 3.0+ specification parsing and dereferencing

1 shared capability

Best For

✓AI assistants and LLM agents that need to understand arbitrary REST APIs
✓MCP servers that expose API documentation as queryable resources
✓Developers building API discovery tools or code generators from specs
✓LLM agents that need to dynamically understand API capabilities at runtime
✓Code generators that produce API client libraries from specs
✓Interactive API explorers or documentation tools
✓Code generators producing type-safe API client libraries
✓LLM agents that need to validate inputs before making API calls

Known Limitations

⚠No validation of schema correctness — malformed OpenAPI documents may parse partially or produce undefined behavior
⚠Limited support for OpenAPI extensions (x-* fields) — only standard spec fields are guaranteed to be extracted
⚠No resolution of external $ref references — circular or remote schema references may not be fully dereferenced
⚠YAML parsing depends on underlying YAML library — complex anchors/aliases may not be fully supported
⚠Query interface is likely read-only — no mutation or schema modification capabilities
⚠No full-text search across descriptions — queries are typically path/method/tag based

Requirements

OpenAPI 3.0.x or Swagger 2.0 specification documentNode.js 14+ runtimeValid JSON or YAML syntax in the specification fileParsed OpenAPI/Swagger document in memoryEndpoint path and HTTP method to queryParsed OpenAPI/Swagger documentEndpoint path and HTTP method to extract parameters forParsed OpenAPI/Swagger document with security definitions

Input / Output

Accepts: JSON (OpenAPI 3.0 or Swagger 2.0 format), YAML (OpenAPI 3.0 or Swagger 2.0 format), URL pointing to remote OpenAPI document, endpoint path (string, may include path parameters like {id}), HTTP method (GET, POST, PUT, DELETE, PATCH, etc.), tag name (string, for filtering), endpoint identifier (path + method), parameter location filter (path, query, header, body, cookie), security scheme name (optional, to filter specific schemes), OpenAPI endpoint specification, endpoint path and HTTP method, HTTP status code filter (optional, e.g., 200, 404), OpenAPI/Swagger specification, documentation format preference (markdown, HTML), content inclusion options (examples, deprecated endpoints, etc.)

Produces: structured JSON representation of API schema, endpoint metadata objects, parameter and schema definitions, endpoint metadata object (summary, description, tags, security, deprecation status), array of matching endpoints, boolean (for existence checks), JSON Schema objects for each parameter, array of parameter metadata (name, type, required, default, description), combined request body schema, security scheme metadata (type, description, configuration), array of required security schemes for an endpoint, OAuth2 configuration object (token URL, scopes, flow type), MCP tool definition object, JSON Schema function signature, tool metadata (name, description, parameters), response schema objects (JSON Schema format), array of response metadata (status code, content type, schema), error response definitions, markdown documentation, HTML documentation, structured documentation object

UnfragileRank

Adoption15%(30% weight)

Quality24%(25% weight)

Ecosystem52%(25% weight)

Match Graph10%(15% weight)

Freshness75%(5% weight)

UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.

Type: MCP Server

7 capabilities

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Package Details

npm

Registry

0.0.3

Version

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About

Swagger MCP tool that provides Swagger/OpenAPI document query capabilities for AI assistants and MCP clients.

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Capabilities7 decomposed

openapi/swagger document parsing and schema extraction

Medium confidence

Solves for

Best for

AI assistants and LLM agents that need to understand arbitrary REST APIs

MCP servers that expose API documentation as queryable resources

Developers building API discovery tools or code generators from specs

Requires

OpenAPI 3.0.x or Swagger 2.0 specification document

Node.js 14+ runtime

Valid JSON or YAML syntax in the specification file

Limitations

No validation of schema correctness — malformed OpenAPI documents may parse partially or produce undefined behavior

Limited support for OpenAPI extensions (x-* fields) — only standard spec fields are guaranteed to be extracted

No resolution of external $ref references — circular or remote schema references may not be fully dereferenced

What makes it unique

vs alternatives

endpoint metadata query interface

Medium confidence

Solves for

Best for

LLM agents that need to dynamically understand API capabilities at runtime

Code generators that produce API client libraries from specs

Interactive API explorers or documentation tools

Requires

Parsed OpenAPI/Swagger document in memory

Endpoint path and HTTP method to query

Node.js 14+ runtime

Limitations

Query interface is likely read-only — no mutation or schema modification capabilities

No full-text search across descriptions — queries are typically path/method/tag based

Performance degrades with very large OpenAPI documents (1000+ endpoints) if indexing is not optimized

What makes it unique

vs alternatives

parameter schema extraction and validation

Medium confidence

Solves for

Best for

Code generators producing type-safe API client libraries

LLM agents that need to validate inputs before making API calls

API testing frameworks that auto-generate test cases from specs

Requires

Parsed OpenAPI/Swagger document

Endpoint path and HTTP method to extract parameters for

Node.js 14+ runtime

Limitations

JSON Schema validation is limited to standard keywords — custom validation rules (e.g., regex patterns) may not be fully enforced

No support for complex discriminator patterns (oneOf/anyOf with discriminator fields) — may return ambiguous schema

External $ref resolution may fail for remote schemas — only local references are guaranteed to work

What makes it unique

vs alternatives

security scheme and authentication requirement extraction

Medium confidence

Solves for

Best for

API client generators that need to configure authentication automatically

LLM agents that need to understand security requirements before making API calls

Security auditing tools that analyze API authentication coverage

Requires

Parsed OpenAPI/Swagger document with security definitions

Endpoint path and HTTP method to extract security requirements for

Node.js 14+ runtime

Limitations

No validation of OAuth2 endpoints — assumes token URLs and scopes are correctly specified

Limited support for complex security flows (e.g., multi-step OAuth with PKCE) — only basic scheme extraction

No runtime credential management — only extracts configuration, doesn't handle token storage or refresh

What makes it unique

vs alternatives

mcp tool registration and function schema generation

Medium confidence

Solves for

Best for

MCP server developers exposing REST APIs as callable tools

Teams building AI assistants that need to integrate with multiple APIs

Platforms that auto-generate MCP tools from API specifications

Requires

Parsed OpenAPI/Swagger document

MCP SDK or compatible runtime

Node.js 14+ runtime

Limitations

Function schema generation may lose some OpenAPI nuances (e.g., complex discriminators, conditional schemas) when mapping to MCP format

No automatic request/response transformation — MCP tools receive raw endpoint parameters and return raw responses

Limited support for streaming or long-running operations — MCP tool model assumes synchronous request/response

What makes it unique

vs alternatives

response schema documentation and type inference

Medium confidence

Solves for

Best for

Code generators producing type-safe API client libraries

API documentation generators

LLM agents that need to understand response formats before making calls

Requires

Parsed OpenAPI/Swagger document

Endpoint path and HTTP method to extract response schemas for

Node.js 14+ runtime

Limitations

No runtime response validation — only provides schema definitions, doesn't validate actual responses

Complex schema features (discriminators, conditional schemas) may not be fully represented in extracted schemas

No support for response transformation or mapping — returns raw schema as defined in spec

What makes it unique

vs alternatives

api documentation generation from specifications

Medium confidence

Solves for

Best for

API teams automating documentation generation from specs

Documentation generators that consume OpenAPI specs

Teams maintaining multiple API versions that need synchronized documentation

Requires

Parsed OpenAPI/Swagger document

Node.js 14+ runtime

Optional: template files for custom documentation format

Limitations

Documentation generation is template-based — customization requires template modification

No support for custom documentation sections or annotations beyond OpenAPI spec

Example generation is basic — uses schema defaults rather than realistic sample data

What makes it unique

vs alternatives

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

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HubSpot33Product

Unify marketing, sales, CRM; AI-driven insights—boost...

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Google Translate30Product

Instant translations across 100+ languages, voice, text, and...

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swagger-mcp-tool

Capabilities7 decomposed

openapi/swagger document parsing and schema extraction

endpoint metadata query interface

parameter schema extraction and validation

security scheme and authentication requirement extraction

mcp tool registration and function schema generation

response schema documentation and type inference

api documentation generation from specifications

Related Artifactssharing capabilities

swagger-autogen

OpenAPI Schema Explorer

Gentoro

openapi-mcp-server

Mintlify

openapi-mcp-generator

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

Package Details

About

Categories

Alternatives to swagger-mcp-tool

Are you the builder of swagger-mcp-tool?

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swagger-mcp-tool

Capabilities7 decomposed

openapi/swagger document parsing and schema extraction

endpoint metadata query interface

parameter schema extraction and validation

security scheme and authentication requirement extraction

mcp tool registration and function schema generation

response schema documentation and type inference

api documentation generation from specifications

Related Artifactssharing capabilities

swagger-autogen

OpenAPI Schema Explorer

Gentoro

openapi-mcp-server

Mintlify

openapi-mcp-generator

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

Package Details

About

Categories

Alternatives to swagger-mcp-tool

Are you the builder of swagger-mcp-tool?

Get the weekly brief

Data Sources