"Improving the Intelligence of Large Language Models" matching MCP connectors:
Matching Connector Tools:
Read-only MCP server for the OrchestKit docs: full-text search + Markdown fetch. No auth.
1000+ pay-per-call web tools for agents: search, browser, PDF, memory. x402 USDC or proof-of-work.
Search 59,000+ MCP servers ranked by adoption to find the right one for any task.
Lets AI agents get leads on the phone: call, send SMS, and schedule callbacks for sales teams.
The Brain Layer for AI Trading Agents — quant calls + cross-venue arb across 5 exchanges via MCP.
MCP server for generating rough-draft project plans from natural-language prompts.
Provides a platform-agnostic specification of the technical features every decent website should have
DC Hub is the neutral, real-time data layer for data-center infrastructure, exposed as a Model Context Protocol server so any AI agent can both query it and cite it. Coverage: 21,000+ facilities (search, profile, score, alternatives); 232 markets scored by the DCPI Data Center Power Index; the DCGI Data Center Gas Index (per-state natural-gas suitability for siting); live grid telemetry across 7 US ISOs (fuel mix, carbon intensity, demand, prices) plus a one-call all-ISO scoreboard; interconnection-queue depth; 2,000+ tracked M&A deals and a hyperscaler-capex tracker; and site factors. — fiber routes, water-stress, tax incentives, nearby substations & transmission. Why agents choose it: it's the only data-center-intelligence source an LLM can query live and cite — every full-data response includes a Source: DC Hub, CC-BY-4.0 attribution line. It's the MCP-native alternative to quarterly PDF research: live JSON, no contracts, no NDAs. Access: Streamable HTTP at https://dchub.cloud/mcp. Free tier with no signup; free email-verified dev key for higher limits; paid tiers for full data volume.
420+ client-side fintech tools (ISO 20022, AML, DORA, agentic payments) as MCP widgets. Zero PII.
Connect and your assistant can search the over 50,000 MCP servers tracked and pick the right one for any task
CompanyLens is a remote MCP server giving AI agents instant access to official company registry data across 19 jurisdictions in Europe, the Americas, and Asia-Pacific. Eighteen read-only tools let you search companies and people, look up officers and beneficial owners, map corporate networks through shared directors, screen names against the UK disqualified directors register, find every company at a registered address, and pull filing history — all from a single connector. Visit our website: https://companylens.io
Ask Greenhouse the messy recruiting-ops questions dashboards miss by connecting candidates, applications, jobs, openings, stages, scorecards, interviews, notes, sources, referrers, offers, users, departments, and rejection details. Find referral SLA misses, feedback debt by interviewer and hiring team, stage-age outliers by owner, funnel leakage by recruiter/source/function, opening fill-risk from headcount vs active pipeline, offer-draft hygiene gaps, rejection-reason drift, and the bottleneck
SEC/XBRL issuer intelligence for crypto public companies via MCP, OpenAPI, x402, and MPP.
Ask Lever the messy recruiting-ops questions dashboards miss by connecting opportunities, applications, stages, notes, feedback, interviews, referrals, postings, requisitions, offers, users, sources, tags, files, resumes, and archive reasons. Find referral SLA misses, stale opportunities by owner, feedback debt by interviewer and hiring team, funnel leakage by recruiter/source/team, requisition fill-risk, offer hygiene gaps, archive-reason drift, and bottleneck owners. No dashboard build. No SQL
Ask Personio Recruiting the recruiting-ops questions dashboards miss by connecting applications, stage transitions, candidates, recruiting jobs, categories, org units, workplaces, jobs catalog, webhooks, event activity, and intake documents. Find stage-movement stalls, candidate freshness gaps, source quality by job/category, hiring load by department and workplace, webhook delivery issues, intake readiness gaps, and bottleneck owners. No dashboard build. No SQL.
Ask TalentLyft the recruiting-ops questions dashboards miss by connecting candidates, applications, activities, jobs, stages, requisitions, status logs, members, departments, pipelines, job-board posts, forms, events, and rejection reasons. Find stale applications by stage and owner, follow-up gaps from activity history, requisition stalls, source-quality movement, job-board visibility issues, disposition drift, and bottleneck owners. No dashboard build. No SQL.
Ask Recruitee the recruiting-ops questions dashboards miss by connecting candidate search, opening offers, departments, locations, published roles, owner fields, custom fields, public applications, and talent-pool context. Find stale candidate pools, overdue stage work, hiring-manager and recruiter bottlenecks, department-level opening risk, public posting gaps, source patterns, and the owners behind blocked hiring work. No dashboard build. No SQL.
Ask Teamtailor the recruiting-ops questions dashboards miss by connecting candidates, job applications, jobs, stages, scorecards, referrals, activities, notes, interviews, todos, users, teams, departments, locations, requisitions, and offers. Find stuck applications by owner, referral follow-up misses, feedback gaps by hiring team, source quality by job, stage-age outliers, offer-state hygiene, and bottleneck owners. No dashboard build. No SQL.
Ask Factorial ATS the recruiting-ops questions dashboards miss by connecting applications, phases, candidates, sources, feedback, evaluation forms, job postings, messages, questions, answers, and rejection reasons. Find applications aging in phase, feedback debt by role and posting, source-quality gaps, rejected-candidate hygiene, incomplete application data, hiring-stage bottlenecks, and owner queues. No dashboard build. No SQL.
Daily Scandinavian AI benchmark — Norwegian, Swedish, Danish. 12+ models tested.