"How to make API calls in code" matching MCP servers:

Deterministic code review MCP server that provides tools for file selection, rule matching, comment positioning, and reflection, ensuring stable review quality without LLM calls.

A graph-native code repository for people and AI agents. Kin helps you and your AI agents understand what a code change might affect before you make it.

A production-grade MCP server for the Code-Fundi API, enabling AI agents to map codebases, search semantically, and analyze blast radius. It provides tools for repository management, AI-powered research, and impact analysis before shipping changes.

Integrates GitHub repository management and local file system access to enable AI agents to perform code reviews and manage pull requests. It provides tools for listing repositories, retrieving PR diffs, and searching or reading files within a specified workspace.

An experimental MCP server that enables AI assistants to interact with VS Code workspaces through file operations, code execution, and Git management. It also provides tools for Docker integration, project scaffolding, and secure command execution using project-specific configurations.

Enables AI assistants to interact with GitLab merge requests, review code changes, search projects, and create draft comments for code review workflows.

Safe local MCP server for Windows to list, read, search, patch, backup, and verify code files in allowed folders, with Git integration and dry-run diffs.

Tracks the complete lineage and DNA of every line of code, enabling impact analysis, bug risk prediction, and code archaeology through deterministic analysis of git history and AST.

A Model Context Protocol server that provides read-only access to GitHub repositories, enabling AI assistants to perform code reviews without write permissions.

An AI-powered code review agent that leverages Model Context Protocol (MCP) and Claude to provide intelligent, context-aware code reviews.

A GitHub integration for Claude Desktop that provides access to GitHub features directly from Claude, offering 15 powerful tools for repository management, issues, pull requests, and code operations.

Enables AI assistants like Claude to navigate git repository history, providing insights into code evolution and helping understand legacy systems.

Enables multi-project code analysis by invoking project-provided Claude Code agents and skills, with optional SVN updates, returning Markdown reports to MCP clients.

An MCP server that provides semantic search over local git repositories, enabling users to clone repositories, process branches, and search code through vectorized code chunks.

An MCP server that integrates AI assistants like Claude with GitLab's merge requests, allowing them to review code changes, add comments, and approve/unapprove merge requests directly through the GitLab API.

Enables AI assistants to review GitLab merge requests by fetching diffs, analyzing code changes, adding comments, and managing approvals through the GitLab API. Supports comprehensive merge request analysis and version comparison for automated code review workflows.

Analyzes Git pull request diffs to detect breaking REST and GraphQL API schema changes, providing deterministic AST-level code review and breaking change alerts for CI/CD workflows.

Enables Claude Code to record a verifiable history of code changes with before/after and rationale, and to propose changes that users can accept or discard, all reviewable on a local web timeline.

Enables manual review of GitLab Merge Requests and GitHub Pull Requests, loading context, generating comment previews, and preparing commit-based fixes for unresolved threads. Every write — comments, replies, and commits — requires explicit user confirmation and an approved preview before it is published.

Enables local Claude Code to interact with Snowflake, Asana, M365, GitHub, and Hive Mind with automatic response truncation to prevent memory overload.