MCP / Category

Developer Tools

Browse MCP servers related to Developer Tools.

Ollama MCP Server

Developer Tools

Community-maintained Model Context Protocol bridge that exposes Ollama's local HTTP API—model listing, pulls, chat, and OpenAI-compatible completions—to MCP clients such as Claude Desktop and Cursor. Published on npm as `ollama-mcp-server` (maintained fork of NightTrek/Ollama-mcp); requires a running Ollama daemon reachable at `OLLAMA_HOST` (default `http://127.0.0.1:11434`).

Shopify Dev MCP

Developer Tools

Official Shopify Dev MCP server from the Shopify AI Toolkit: connects Claude Code, Cursor, VS Code, Gemini CLI, Codex, and similar clients to Shopify developer documentation, GraphQL schemas, and validation workflows without guessing API shapes. Runs locally via npx using the @shopify/dev-mcp package; Shopify documents that no authentication is required for this developer-resources server. Part of Shopify's broader AI Toolkit alongside plugins and optional skill bundles.

Cloudflare MCP

Developer Tools

Bridges AI agents to Cloudflare Workers, KV storage, R2 object storage, and D1 databases for edge deployment inspection and management. Agents can check Workers status, inspect KV namespaces, query D1 databases, and monitor R2 buckets directly from the coding environment.

Agent Protocol MCP

Developer Tools

Implements the Agent Protocol standard enabling MCP clients to coordinate with external agent frameworks using shared task, step, and artifact schemas. Useful when composing multiple agents where one agent hands off work to specialized agents. Supports agent registration and state tracking.

Azure MCP

Developer Tools

Connects AI agents to Azure resources including App Service, Cosmos DB, Key Vault, and Logic Apps for configuration inspection and diagnostic retrieval. Developers can query Azure settings and logs without Azure Portal. Uses Azure CLI credentials for authentication.

Temporal MCP

Developer Tools

Exposes Temporal workflow execution state, namespace management, and search attributes to AI agents for debugging long-running business processes. Agents can inspect workflow history, debug stuck executions, and trigger new workflow runs. Supports self-hosted and Temporal Cloud deployments.

AWS MCP

Developer Tools

Bridges AWS API operations to AI agents for EC2 instance management, S3 bucket operations, Lambda function inspection, IAM policy analysis, and CloudWatch log retrieval. Uses your existing AWS credentials configured on the machine. Supports multi-account setups via role assumption.

Kubernetes MCP

Developer Tools

Go-native MCP server that interfaces directly with Kubernetes API for workload inspection, event monitoring, Helm release management, and log retrieval. Agents can debug cluster issues with RBAC-aware toolsets instead of copy-pasting kubectl output. Supports multiple cluster contexts.

Netlify MCP

Developer Tools

Exposes Netlify CLI operations to AI agents for site scaffolding, build configuration, deploy triggering, and domain management. Developers can manage Netlify hosting without dashboard access or CLI installation. Agents work within the editor context to automate deployment workflows.

Sentry MCP

Developer Tools

Connects AI agents to Sentry error tracking, stack traces, performance data, and release information through Sentry's hosted MCP endpoint. Debugging starts from actual error context instead of pasted messages. Agents can correlate issues with code changes and deployment events.

Vercel MCP

Developer Tools

Provides AI agents access to Vercel projects, deployments, logs, and documentation through Vercel's official MCP endpoint with OAuth authentication. Developers can debug deployment issues, inspect preview URLs, and manage project settings directly from the IDE.

Stripe MCP

Developer Tools

Exposes Stripe payment objects including customers, invoices, subscriptions, charges, and payouts to AI agents with granular OAuth scopes. Finance and support copilots can look up live billing state, investigate disputes, and generate reports. Useful for SaaS finance operations and merchant reporting.

Docker MCP

Developer Tools

Enables AI agents to inspect Docker containers, images, volumes, and compose projects through Docker's official MCP server. Debug local development stacks by having the agent query container state, tail logs, and inspect networking. Supports both local Docker and Docker Desktop contexts.

Figma MCP

Developer Tools

Provides AI agents access to Figma designs, components, variables, frames, and FigJam whiteboards through Figma's official MCP integration. Developers can implement designs without switching to Figma, and designers can sync annotations. Reduces miscommunication between design and code.

Semgrep MCP

Developer Tools

Connects AI coding agents to Semgrep static analysis rules and findings so security reviews can start from actual scan results. Agents can look up rule definitions, triage findings, and verify fixes without pasting SARIF outputs. Integrates with CI/CD pipelines.

Make MCP Server

Developer Tools

Bridges Make.com's no-code automation platform with conversational AI by exposing existing Make scenarios as callable MCP tools. Agents can trigger workflows, update CRM records, and orchestrate cross-app automations without understanding Make's interface. Ideal for business process automation.

Cloudflare API MCP

Developer Tools

Provides centralized access to Cloudflare services including DNS management, Workers deployments, R2 storage operations, and security settings through a remote MCP endpoint. Infrastructure teams can query and modify Cloudflare resources via AI assistants. Supports zero-trust access policies.

GitHub MCP

Developer Tools

Provides GitHub API access for repositories, issues, pull requests, reviews, and code search. Agents can summarize PR diffs, draft code reviews, manage issues, and navigate large organizations using OAuth-authenticated API calls. Supports both github.com and GitHub Enterprise deployments.

GitLab MCP

Developer Tools

Integrates GitLab projects, merge requests, CI/CD pipelines, and group metadata into AI assistants. Agents can review MR diffs alongside code, inspect pipeline failures, and track approval status without leaving the IDE. Supports gitlab.com and self-hosted GitLab instances.