"A platform for professional networking and career opportunities" matching MCP servers:

Enables AI agents to search and retrieve opportunities from the Opportunities Circle catalog, including scholarships, fellowships, internships, grants, jobs, and more. Supports filtering by type, country, funding, and tags, with full details and official apply links.

Local-first MCP server for research on AI-assisted browsing of a user-owned professional-network account (e.g., LinkedIn), providing read-focused tools such as profile, company, search, and feed reads.

Enables users to store resumes, job descriptions, voice profiles, and career stories locally, then retrieve them as context for match analysis, tailored resumes, cover letters, LinkedIn About sections, and guided story interviews.

Resume tailoring, cover letter generation, CV PDF export, and job search tools for AI agents. 18 tools powered by the Laddro Career API.

Enables autonomous agents and scraping pipelines to deduplicate high-throughput event streams, repair and validate gigabyte-scale JSONL data, retry HTTP/S requests with exponential backoff and header rotation, mimic Chrome/Safari TLS fingerprints, and sync cross-domain cookie sessions. Tool invocations are metered through x402 USDC micropayments on Base L2, returning a payment challenge until a signed transaction unlocks execution.

Enables AI agents to search and filter Web3 job listings from web3.career, supporting parameters like remote, country, tag, and limit.

Turns Claude into a career co-pilot that manages resumes, cover letters, job applications, and interview prep using local YAML files.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

Enables a conversational goal-setting flow for college and career coaching, exposing tools to save and retrieve goals and open a goal planner, with recommendations sourced from Career Coach MCP.

MCP server for Argo CD and Vault that allows authenticated users to run CLI commands via GitLab SSO, with confirmation for dangerous operations and secret redaction from model context.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables IDE plugins to authenticate and communicate with the YAAIF platform via MCP, bridging Cursor, VS Code, IntelliJ, Claude Code, Codex, and OpenCode.

A self-hosted platform that aggregates upstream MCP servers, OpenAPI imports, and remote device connectors behind a single endpoint per profile, with per-agent scoped authorization, tool/prompt/resource catalogs, and approval-based temporary permissions. It also lets administrators distribute skills and connectors to paired devices and export client configurations.

Self-hosted MCP servers that let Claude, ChatGPT, or any MCP client answer questions about your own Google Maps data — where you were at a given moment, visits to specific places, dwell time, trips, distance traveled by mode, and your current position from a live feed. All tools are read-only and gated behind OAuth 2.1 tokens with configurable precision, so credentials and coordinates never leave your server.

Demonstrates agent-native platform onboarding with human-in-the-loop API key provisioning, plus live usage and rate-limit queries via Anthropic Admin APIs.

Enables an AI client to track a watch list of contacts and retrieve only what changed since the last run — departures, new employers, replacements, and new hires after a role closed — each row carrying match evidence, source dates, and ready-to-use outreach payloads. It runs the analysis on Apify using the caller's own provider keys, supports stored or caller-held state, and can push results to a signed webhook.

MCP server giving AI assistants read-only access to a Jamf fleet via the Jamf Platform API Gateway using OAuth2 client credentials, with tools for fleet overview, device queries, group membership, automation auditing, and passthrough requests.

Analyzes codebases for cross-platform compatibility issues, detecting platform-specific APIs, file path problems, line ending inconsistencies, and shell command incompatibilities across Windows, macOS, and Linux.

Enables DevOps operators to query and operate the Sigma Streaming Platform from any AI client such as Claude Desktop, Cursor, or Kiro.

Enables interaction with Mia-Platform Console through the Model Context Protocol, supporting machine-to-machine authentication and personal credentials for managing resources.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Enables AI agents to play Disney Lorcana TCG matches over MCP, with tools for card search, deck validation, match creation, state observation, legal actions, and moves. Supports AI-vs-AI play and a live spectator board.

Enables users to look up, search and compare the listing and submission requirements that Claude, ChatGPT, Cursor and the Official MCP Registry impose on connectors and plugins. Every answer comes from a bundled, read-only dataset and carries source citations, an evidence label and the date the requirement was last verified.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

Enables AI agents to interact with 1C: Enterprise development environment, including running tests, managing launch profiles, building configurations, and performing database operations through the 1C: Platform Tools extension.

MCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.

Enables AI assistants to query and manage Flowcore resources through a structured API.

Enables platform engineering workflows via GitHub Copilot, including creating repositories from templates and provisioning Azure deployment environments.

Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.

Automates enterprise Power Platform project setup and management via MCP, reducing setup time from weeks to hours through template-based provisioning, Azure DevOps orchestration, and direct API integration.