> ## Documentation Index > Fetch the complete documentation index at: https://docs.getbifrost.ai/llms.txt > Use this file to discover all available pages before exploring further. # Execute MCP tool > Executes an MCP tool and returns the result. ## OpenAPI ````yaml /openapi/openapi.json post /v1/mcp/tool/execute openapi: 3.1.0 info: title: Bifrost API description: > Bifrost HTTP Transport API for AI model inference and gateway management. This API provides a unified interface for interacting with multiple AI providers including OpenAI, Anthropic, Bedrock, Gemini, and more through a single API, along with comprehensive management APIs for configuring and monitoring the gateway. ## API Structure ### Unified Inference API (`/v1/*`) The primary API using Bifrost's unified format. Model parameters use the format `provider/model` (e.g., `openai/gpt-4`, `anthropic/claude-3-opus`). ### Async Inference API (`/v1/async/*`) Submit inference requests for asynchronous execution. Returns a job ID immediately and allows polling for results. Supports all inference types except batches, files, and containers. ### Provider Integration APIs Native provider-format APIs for drop-in compatibility: - `/openai/*` - OpenAI-compatible API - `/anthropic/*` - Anthropic-compatible API - `/genai/*` - Google GenAI (Gemini) compatible API - `/bedrock/*` - AWS Bedrock compatible API - `/cohere/*` - Cohere compatible API ### Framework Integration APIs Multi-provider proxy endpoints for AI frameworks: - `/litellm/*` - LiteLLM proxy with all provider formats - `/langchain/*` - LangChain compatible endpoints - `/pydanticai/*` - PydanticAI compatible endpoints ### Management APIs (`/api/*`) APIs for managing and monitoring the Bifrost gateway: - `/api/config` - Configuration management - `/api/providers` - Provider and API key management - `/api/plugins` - Plugin management - `/api/governance/*` - Virtual keys, teams, customers, budgets, rate limits, routing rules, and pricing overrides - `/api/logs` - Log search and analytics - `/api/mcp/*` - MCP (Model Context Protocol) client management - `/api/session/*` - Authentication and session management - `/api/cache/*` - Cache management - `/health` - Health check endpoint ## Fallbacks Requests can include fallback models that will be tried if the primary model fails. version: 1.0.0 contact: name: Contact Us url: https://getmaxim.ai/bifrost license: name: Apache 2.0 url: https://opensource.org/licenses/Apache-2.0 servers: - url: '{baseUrl}' description: Your Bifrost instance variables: baseUrl: default: http://localhost:8080 description: Base URL of your Bifrost instance (e.g. https://bifrost.mycompany.com) security: - BearerAuth: [] - BasicAuth: [] - ApiKeyAuth: [] tags: - name: Models description: Model listing and information - name: Chat Completions description: Chat-based text generation - name: Text Completions description: Text completion generation - name: Responses description: OpenAI Responses API compatible endpoints - name: OCR description: Optical character recognition for documents and images - name: Rerank description: Document reranking by relevance to a query - name: Embeddings description: Text embedding generation - name: Images description: Image generations, editing, and variations - name: Videos description: Video generation and management - name: Audio description: Speech synthesis and transcription - name: Count Tokens description: Token counting utilities - name: Batch description: Batch processing operations - name: Files description: File management operations - name: Containers description: Container management operations - name: Async Jobs description: Asynchronous job submission and retrieval endpoints - name: OpenAI Integration description: OpenAI-compatible API endpoints (/openai/*) - name: Azure Integration description: Azure OpenAI integration endpoints - name: Anthropic Integration description: Anthropic-compatible API endpoints (/anthropic/*) - name: GenAI Integration description: Google GenAI (Gemini) compatible API endpoints (/genai/*) - name: Bedrock Integration description: AWS Bedrock compatible API endpoints (/bedrock/*) - name: Cohere Integration description: Cohere compatible API endpoints (/cohere/*) - name: LiteLLM Integration description: LiteLLM proxy endpoints with multi-provider support (/litellm/*) - name: LangChain Integration description: LangChain compatible endpoints with multi-provider support (/langchain/*) - name: PydanticAI Integration description: >- PydanticAI compatible endpoints with multi-provider support (/pydanticai/*) - name: Health description: Health check endpoints - name: Configuration description: Configuration management endpoints - name: Session description: Session and authentication endpoints - name: Providers description: Provider management endpoints - name: Plugins description: Plugin management endpoints - name: MCP description: Model Context Protocol endpoints - name: Governance description: Virtual keys, teams, and customers management - name: Logging description: Log search and management endpoints - name: Cache description: Cache management endpoints paths: /v1/mcp/tool/execute: post: tags: - MCP summary: Execute MCP tool description: Executes an MCP tool and returns the result. operationId: executeMCPTool parameters: - name: format in: query required: false description: | Format of the tool execution request/response. schema: type: string enum: - chat - responses default: chat requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/ExecuteToolRequest' examples: chat: summary: Chat format example value: id: call_123 type: function function: name: get_weather arguments: '{"location": "San Francisco"}' responses: summary: Responses format example value: call_id: call_123 name: get_weather arguments: '{"location": "San Francisco"}' responses: '200': description: Tool executed successfully content: application/json: schema: oneOf: - $ref: '#/components/schemas/ChatMessage' title: Chat (Default) description: Chat format response - type: object properties: id: type: string type: type: string enum: - message - file_search_call - computer_call - computer_call_output - web_search_call - web_fetch_call - function_call - function_call_output - code_interpreter_call - local_shell_call - local_shell_call_output - mcp_call - custom_tool_call - custom_tool_call_output - image_generation_call - mcp_list_tools - mcp_approval_request - mcp_approval_responses - reasoning - item_reference - refusal status: type: string enum: - in_progress - completed - incomplete - interpreting - failed role: type: string enum: - assistant - user - system - developer content: oneOf: - type: string - type: array items: type: object required: - type properties: type: type: string enum: - input_text - input_image - input_file - input_audio - output_text - refusal - reasoning_text file_id: type: string text: type: string signature: type: string image_url: type: string detail: type: string file_data: type: string file_url: type: string filename: type: string file_type: type: string input_audio: type: object required: - format - data properties: format: type: string enum: - mp3 - wav data: type: string annotations: type: array items: type: object properties: type: type: string enum: - file_citation - url_citation - container_file_citation - file_path index: type: integer file_id: type: string text: type: string start_index: type: integer end_index: type: integer filename: type: string title: type: string url: type: string container_id: type: string logprobs: type: array items: type: object properties: bytes: type: array items: type: integer logprob: type: number token: type: string top_logprobs: type: array items: type: object properties: bytes: type: array items: type: integer logprob: type: number token: type: string refusal: type: string cache_control: $ref: '#/components/schemas/CacheControl' call_id: type: string name: type: string arguments: type: string output: type: object action: type: object error: type: string queries: type: array items: type: string results: type: array items: type: object summary: type: array items: type: object required: - type - text properties: type: type: string enum: - summary_text text: type: string encrypted_content: type: string title: Responses description: Responses format response description: | MCP tool execution response. examples: chat: summary: Chat format response value: name: get_weather role: tool tool_call_id: call_123 content: The weather in San Francisco is 72°F and sunny. responses: summary: Responses format response value: id: msg_123 type: function_call_output status: completed role: assistant call_id: call_123 name: get_weather arguments: '{"location": "San Francisco"}' content: The weather in San Francisco is 72°F and sunny. '400': description: Bad request content: application/json: schema: $ref: '#/components/schemas/BifrostError' '500': description: Internal server error content: application/json: schema: $ref: '#/components/schemas/BifrostError' security: - BearerAuth: [] - BasicAuth: [] - VirtualKeyAuth: [] - ApiKeyAuth: [] components: schemas: ExecuteToolRequest: oneOf: - type: object required: - function properties: index: type: integer type: type: string id: type: string function: type: object properties: name: type: string arguments: type: string title: Chat (Default) description: Chat format - uses ChatAssistantMessageToolCall schema - type: object description: Responses format - uses ResponsesToolMessage schema required: - name properties: call_id: type: string description: Common call ID for tool calls and outputs name: type: string description: Tool function name (required for execution) arguments: type: string description: Tool function arguments as JSON string output: type: object description: Tool execution output additionalProperties: true action: type: object description: Tool action configuration additionalProperties: true error: type: string description: Error message if tool execution failed title: Responses description: > MCP tool execution request. The schema depends on the `format` query parameter: - `format=chat` or empty (default): Use `ChatAssistantMessageToolCall` schema - `format=responses`: Use `ResponsesToolMessage` schema ChatMessage: type: object required: - role properties: role: type: string enum: - assistant - user - system - tool - developer name: type: string content: oneOf: - type: string - type: array items: type: object required: - type properties: type: type: string enum: - text - image_url - input_audio - file - refusal text: type: string refusal: type: string image_url: type: object required: - url properties: url: type: string detail: type: string enum: - low - high - auto input_audio: type: object required: - data properties: data: type: string format: type: string file: type: object properties: file_data: type: string file_id: type: string filename: type: string file_type: type: string cache_control: $ref: '#/components/schemas/CacheControl' description: Message content - can be a string or array of content blocks tool_call_id: type: string description: For tool messages refusal: type: string audio: type: object properties: id: type: string data: type: string expires_at: type: integer transcript: type: string reasoning: type: string reasoning_details: type: array items: type: object properties: id: type: string index: type: integer type: type: string enum: - reasoning.summary - reasoning.encrypted - reasoning.text summary: type: string text: type: string signature: type: string data: type: string annotations: type: array items: type: object properties: type: type: string url_citation: type: object properties: start_index: type: integer end_index: type: integer title: type: string url: type: string sources: type: object type: type: string tool_calls: type: array items: type: object required: - function properties: index: type: integer type: type: string id: type: string function: type: object properties: name: type: string arguments: type: string CacheControl: type: object description: Cache control settings for content blocks properties: type: type: string enum: - ephemeral ttl: type: string description: Time to live (e.g., "1m", "1h") BifrostError: type: object description: Error response from Bifrost properties: event_id: type: string type: type: string is_bifrost_error: type: boolean status_code: type: integer error: $ref: '#/components/schemas/ErrorField' extra_fields: $ref: '#/components/schemas/BifrostErrorExtraFields' ErrorField: type: object properties: type: type: string code: type: string message: type: string param: type: string event_id: type: string BifrostErrorExtraFields: type: object properties: provider: $ref: '#/components/schemas/ModelProvider' model_requested: type: string request_type: type: string ModelProvider: type: string description: AI model provider identifier enum: - openai - azure - anthropic - bedrock - cohere - vertex - vllm - mistral - ollama - groq - sgl - parasail - perplexity - replicate - cerebras - gemini - openrouter - elevenlabs - huggingface - nebius - xai - runway - fireworks securitySchemes: BearerAuth: type: http scheme: bearer description: > Bearer token authentication. Use your provider API key or Bifrost authentication token. Virtual keys (prefixed with `sk-bf-`) can also be passed here. BasicAuth: type: http scheme: basic description: | Basic authentication using username and password. ApiKeyAuth: type: apiKey in: header name: x-api-key description: | API key authentication via the `x-api-key` header. Virtual keys (prefixed with `sk-bf-`) can also be passed here. VirtualKeyAuth: type: apiKey in: header name: x-bf-vk description: > Bifrost Virtual Key for governance, routing, and access control. Supported on all inference endpoints (`/v1/*`, `/openai/*`, `/anthropic/*`, `/bedrock/*`, `/cohere/*`, `/genai/*`, `/langchain/*`, `/litellm/*`, `/pydanticai/*`, `/mcp`), not on management APIs (`/api/*`). Example: `sk-bf-*` prefixed keys. ````