"Coca-Cola" matching MCP servers:

Enables AI agents to verify email addresses with catch-all detection, search existing contacts by company domain, and, when no API key is present, provision a human-approved subscription and retrieve the key after payment.

Loads your project's Tailwind CSS config and exposes tools for AI agents to query actual design tokens and validate class names, preventing hallucination of non-existent utilities.

An MCP server that gives AI agents geometric spatial awareness of web page layouts using Playwright, enabling detection of visual occlusion, layout shifts, and spatial relationships.

An MCP server that decodes V8 CPU profiles into token-efficient bottleneck summaries for AI agents, enabling them to analyze CPU consumption, call trees, GC pressure, and async bottlenecks.

Resolves TypeScript config inheritance chains to reveal effective compiler options, resolves path aliases to physical files, and validates project references for AI agents.

Agent-native cold-email infrastructure providing ~12 high-level tools for domain setup, mailbox provisioning, campaign launch, inbox management, and metrics, all operated via MCP or CLI.

Enables AI agents to profile React applications, detect performance bottlenecks, and automatically apply fixes like memoization and code hoisting.

MCP server that aggregates test failures, cross-references flakiness history, and outputs a release readiness verdict.

MCP server exposing portfolio AI tools including semantic search, evaluation framework, and prompt management, enabling natural language interaction with these services via Claude Desktop.

MCP server that analyzes TypeScript/JavaScript codebases via AST parsing and dependency graph tracing to identify affected tests, detect dead code, circular dependencies, and trace import chains, enabling AI agents to run only relevant tests.

Scans projects for hardcoded secrets, unprotected .env files, and console.log leaks to prevent credential exposure.

An MCP server that unpacks and structures Playwright trace.zip archives so AI agents can perform root-cause analysis on CI failures, with 16 focused tools for inspection, DOM/UI analysis, root-cause analysis, and performance analysis.

MCP server that stream-parses NDJSON log files without loading them into memory — filter by pattern, detect error spikes via Z-score analysis, summarize severity timelines by time window.

Enables decoding minified production stack traces to original TypeScript source locations using source maps, with tools for retracing, code context retrieval, and sourcemap auditing.

Enables AI agents and LLM tools to verify academic citations against real literature, detect hallucinated references, retrieve authoritative metadata and DOIs, generate BibTeX/APA/IEEE citations, and search over 200M+ scientific publications via MCP tools.

Provides 15 core tools for managing Coda documents, tables, and rows through HTTP, SSE, and stdio transports. It is specifically optimized for stability with LangSmith Agent Builder and supports document manipulation, data retrieval, and formula execution.

A lightweight short-term memory MCP server that automatically stores and recalls working context, session state, and task progress for AI agents. Memories auto-expire after 24 hours and integrate seamlessly with workspace-aware storage across multiple projects.

A Model Context Protocol server that enables AI assistants to interact with Coda documents, allowing operations like listing, creating, reading, updating, and duplicating pages.

A read-only MCP server for interacting with Coda API, enabling listing documents, pages, tables, rows, and retrieving page content as markdown.

A Model Context Protocol server that connects Claude to Zola, giving you natural-language access to your wedding vendors, budget, guest list, seating chart, events, registry, inquiries, and more.