"Python context management and dependency solving in ComfyUI" matching MCP servers:

Manage Job using MCP: Manage Job, Candidates, Resumes, Salaries all within this one MCP tools It can solve problems like: You have 50 resumes to screen. Your AI assistant can reason about candidates, but it can't: Read PDFs/DOCX — The AI can't open binary files Extract structured data — Copy-pasting loses formatting, metrics, and context Compare at scale — No consistent scoring across candida

Enables AI agents to pull focused GoHighLevel context before talking to a contact, including contact lookup, timeline summaries, pipeline positions, and appointments, with optional guarded writes. It helps agents brief themselves on a person without exposing raw CRM API noise.

Provides simulated tools for querying student profiles, filtering attention lists, writing follow-up records, and generating class dashboards, enabling data-driven student management.

Enables AI assistants to query Bullhorn CRM data using natural language through direct REST API access with OAuth 2.0 authentication.

Enables LLMs like Claude to interact with Pipedrive CRM data through a standardized interface, providing 22 tools for managing deals, persons, organizations, activities, and more.

Provides interactive tools to explore AFAS customer data and employee leave information, including bubble charts, leave balance reports, and detailed leave cards.

FastMCP cloud server enabling AI assistants to manage outbound call campaigns, schedule calls, list agents, and access call data via HTTP.

A safe Python MCP server modeled on a Java reference, providing tools to create and search customers, create pending orders, list customer orders, and run health checks.

An AI-first business and project management tool that stores data locally in Markdown and JSON files, exposed via the Model Context Protocol (MCP). Enables project, issue, client, contact, and note management through natural language.

Python MCP server for the Marketo REST API, enabling leads management, campaigns, activities, and asset operations through natural language.

Enables lead management and permission set assignment in Salesforce through natural language via MCP protocol.

Enables scoring of customer leads and evaluation of interaction velocity to predict conversion outcomes. It exposes deterministic, dependency-free analysis through the Model Context Protocol for integration with MCP-compliant clients such as Claude Desktop and Cursor.

Provides tools to interact with the Attio API, enabling management of resources in an Attio workspace.

Enables AI agents to safely operate HubSpot CRM contacts, deals, and pipelines via MCP, with caching, idempotency, audit trails, and robust error handling.

Fetch fresh leads and verify emails in one MCP server

Resolves any combination of company name, domain, or LinkedIn URL into the canonical company identity (name, domain, LinkedIn URL) with confidence scores and match method.

Enables AI tools to search and enrich B2B leads, including finding professional emails, company profiles, and filtering people and companies by various criteria.

Enables pushing enriched leads into Instantly or Smartlead campaigns with ICP score gating, deduplication, and dry-run previews via an Apify actor.

MCP server for the Mamba Labs People Finder & Email Verifier actor on Apify. Give it a company domain, name or LinkedIn URL and it returns the people at that company who match your role, seniority and department filters, each as a structured contact record with an optional verified business email.

Detects a company's technology stack from its public web presence. Returns structured tech signals for sales targeting and competitive analysis.