"Building voice agents and controlling SIP phones" matching MCP servers:

Enables LLMs to interact directly with generated REST APIs by exposing CRUD actions as MCP tools and read-only data as MCP resources.

Enables interaction with Intermedia Unite Voice API through authenticated REST endpoints. Provides tools for making API calls and managing OAuth credentials for voice communication services.

Enables LLMs to discover and use generated REST API services as Model Context Protocol tools and resources, supporting CRUD actions and read-only data access without custom glue code.

Enables free, read-only checks of AI agents and MCP servers for conformance, published changes, delivery evidence, and verifiable receipts without requiring an account or API key, using public or non-personal data only.

Enables AI agents in Copilot Chat to autonomously plan, generate, and self-heal Playwright UI and API tests by connecting to a local browser runtime.

Enables precise measurement of live HTTP and WebSocket services while maintaining an append-only, evidence-based ledger of claims that agents can query with explicit timestamps, staleness indicators, and instructions for re-verification.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

This server facilitates scalable discovery and execution of OpenAPI endpoints using semantic search and high-performance processing, overcoming limitations of large spec handling for streamlined API interactions.

Turn any OpenAPI/Swagger/Postman spec into an MCP server — give your LLM live access to any API.

Enables AI agents to connect to any GraphQL endpoint, introspect schemas, and execute queries or mutations through auto-generated tools.

Optimizes REST API calls for AI agents by returning compact schemas instead of full responses, allowing agents to fetch only needed fields via jq masks, reducing token consumption by up to 50x.

MCP server that helps AI agents explore OpenAPI specs, search endpoints, and generate TypeScript types.

Enables AI agents to create, run, and manage HTTP requests using the Invoker API client's .ivk format. It provides tools for scanning collections, executing requests, managing environments, and building documentation sites.

Enables AI agents to lint API artifacts (OpenAPI, AsyncAPI, Arazzo) and manage rulesets conversationally via the Model Context Protocol.

Universal HTTP client tool for LLM agents. Enables Claude and other MCP-compatible agents to perform GET, POST, PUT, DELETE, and other HTTP requests to any URL, including localhost and internal network addresses.

Zero-telemetry local developer execution layer for AI coding agents. Provides deterministic tools to inspect listening network ports and processes, calculate IPv4 CIDR subnet ranges and usable hosts, decode embedded creation timestamps from distributed IDs (UUIDv7, ULID, Snowflake, MongoDB ObjectId), and convert Unix epoch timestamps to UTC, ISO 8601, and local time.

Provides OpenAPI validation and analysis tools to assist developers in building Model Context Protocol servers. It generates developer context and specific agent prompts based on API specifications to streamline the creation of agentic workflows.

MCP server for gRPC — service discovery via server reflection, method invocation, and type schema inspection for AI agents.

The API layer for AI agents. World's biggest API index with 22,000+ APIs and growing. Agents discover and call APIs at runtime with semantic search, structured metadata, and 18 Direct Call APIs including AI providers.

Enables agents to price and analyze interest-rate, credit, equity and inflation trades by building validated requests to a QuantLib-based pricing engine and returning its numbers alongside the exact request sent. It also exposes curve construction from presets or pasted market data, risk analytics via finite differences, and reconciliation tools, while requiring user-supplied market data.

Local OpenAPI contract checks and breaking-change detection between spec versions for AI coding agents.

Enables AI agents to explore any OpenAPI 3 spec, inspect endpoints and schemas, generate TypeScript types, and make authenticated API calls using credentials mapped to the spec's security schemes.

Connects AI agents to Postman workspaces, collections, API specifications, and environments for API testing, management, and client code generation.

Enables AI agents to create, manage, and execute API collections, requests, and environments in Insomnia-compatible formats. It supports direct synchronization with the local Insomnia app database and importing from OpenAPI, Postman, and cURL.

This is an MCP server that facilitates building tools for interacting with various APIs and workflows, supporting Python-based development with potential for customizable prompts and user configurations.

Provides an MCP server that automatically exposes API routes as MCP tools with input validation and authentication, enabling AI agents to call the same handlers as HTTP RPC.

MCP server enabling AI agents to interact with the Kobra API through authenticated HTTP requests, including partner, bearer, and session auth.

Enables agents to call a website's own authenticated GraphQL and REST APIs directly as typed MCP tools, derived from captured browser sessions instead of scraping HTML.

Enables coding agents to discover, write, and test integrations for LinkedIn (Classic, Sales Navigator, Recruiter), WhatsApp, Instagram, Telegram, Gmail/Outlook/IMAP email, and Google/Outlook calendar by reading the live API contract and executing real calls on connected accounts.

Enables MCP clients to connect over stateless Streamable HTTP or stdio, use an example time-zone tool with typed schemas and error handling, and validate deployed endpoints with a preflight checker.