"Historical cryptocurrency market data" matching MCP servers:

Get programmatic access to 170,000+ verified B2B companies in Spain. Featuring a highly-curated premium subset of 26,000+ CEO direct dials and mobile phones. Bypassing legacy corporate gatekeepers has never been cheaper.

MCP server for Twenty CRM that enables AI assistants to interact with the CRM via GraphQL, including schema inspection and query execution.

Enables AI-driven data quality operations such as validation, enrichment, and deduplication for customer data fields including email, address, phone, and LinkedIn profiles through natural language interactions.

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

Live LinkedIn data for AI agents: 44 tools for profiles, companies, jobs, posts, people search, job-change signals and email finding. Hosted remote server (streamable HTTP) - your agent never touches your own LinkedIn account. 300 free credits on signup, no card. Dockerfile in repo bridges stdio clients to the hosted endpoint via mcp-remote.

Apollo.io MCP server for prospecting, lead enrichment, sales intelligence, and outreach workflows. Integrates Apollo.io go-to-market data into MCP-compatible AI applications.

Scans job boards for keyword patterns that indicate buying intent, technology adoption, or team expansion. Returns structured signal data for outbound targeting.

Real-time LinkedIn, X (Twitter) and Reddit data for AI agents: profiles, companies, people search, tweets, subreddits, and search. Free start: self-mint a key in one call, no signup, no card.

MCP server for Apollo.io B2B data discovery and enrichment, enabling company search, people search, contact enrichment, and organization firmographics through Apollo's REST API.

MCP server for the Housecall Pro API, letting AI assistants read and write Housecall Pro data—customers, jobs, invoices, estimates, scheduling, and more—through natural language.

Enables AI agents to perform go-to-market workflows such as company and contact enrichment, CRM querying, and controlled, audited writes to a CRM through MCP tools callable from any MCP client.

Enables AI agents to read and manage Copper CRM data, including searching people, companies, and opportunities, listing pipelines, and logging activities or creating tasks.

Connects your LinkedIn professional profile to AI assistants (Claude, GitHub Copilot) via LinkedIn's official Member Data Portability API, enabling read-only access to résumé data, activity, and recent changes.

AI-powered lead qualification engine. Ingest leads from any source, auto-enrich with company data, score 0-100 using weighted AI rules, and export to HubSpot, Pipedrive, Google Sheets, CSV, or JSON. 8 MCP tools + 3 resources.

Scores companies against a configurable Ideal Customer Profile using firmographic and signal data. Returns a weighted fit score with per-criterion breakdowns.

Runs all GTM signal tools in a single call and returns a unified company intelligence report combining hiring, tech stack, LinkedIn, and job board data.

Enables interaction with Salesforce orgs to perform operations like querying data with SOQL, managing records, and executing Apex code. It provides configurable access levels and support for both standard and Tooling APIs via natural language interfaces.

Integrates Claude with Salesforce for natural language interactions with Salesforce data and metadata, enabling querying, modifying, and managing objects and records.

Enables an AI assistant to answer customer-success questions by synthesizing simulated billing, support ticket, and product usage data into composite churn-risk scores, bands, and plain-language explanations for fictional accounts. It exposes raw-data tools, a synthesis tool, and a methodology resource so users can list at-risk accounts or get a per-account health summary.

Read-only MCP server for Gingr pet-care facility data, enabling queries about owners, animals, reservations, appointments, services, and staff via natural language.