"LinkedIn professional networking platform" matching MCP connectors:
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NSW DAs, CDCs and property planning reports: zoning, height, FSR, nearby DAs. Pay per call via x402.
Schedule and publish social media posts from your AI assistant to Facebook, X (Twitter), LinkedIn, Instagram, Threads, Pinterest, TikTok, Bluesky, Mastodon, Telegram and Google Business Profile. List your connected profiles, create, schedule, update and delete posts, or add them to your queue. Connect with OAuth. Requires a Social Post Flow account (7-day free trial).
Draft, find, update and sign contracts in fynk, the European contract management platform. Your AI assistant can search and summarize your documents, create contracts from templates or PDFs, fill in parties, signatories and dynamic fields, build templates, manage tags, teams and metadata, and send documents out for e-signature (SES, AES, QES). It acts with your own fynk permissions via OAuth. Requires an Essential, Business or Pro plan (14-day free trial) with MCP enabled by an account admin.
Query professional padel tournament data, player stats, and live match results
Query your AI agents' traces, errors, cost and alerts in Rius, the agent observability platform.
MSG91 is a cloud communication platform that helps businesses improve customer engagement, streamline communication workflows, and increase operational efficiency through reliable, multi-channel communication solutions.
Drafts posts in your brand's voice and publishes to Facebook, Instagram, X, Threads, Bluesky, LinkedIn profile, TikTok and Pinterest, only after you approve each one. TikTok videos are made in the Rebbel dashboard.
Load testing and synthetic monitoring platform: test with Playwright, Browser Bot, or Protocol Bots.
Live LinkedIn people, company, post and job data, ICP search and job-change signals for AI agents.
AI marketing team for founders, callable from any agent: plan what to say, edit video, generate images and clips, write and design posts, publish to LinkedIn, X, Instagram, TikTok, YouTube, Facebook, Threads, Bluesky, Discord and Mastodon and read what performed. OAuth sign-in, no API key; every draft waits for approval unless you say publish now. Free Forever plan: 10 posts a day, no card.
Agent-first social media publishing, scheduling, analytics, and unified inbox API + 16-tool MCP server across 18 social platforms (X, LinkedIn, Instagram, YouTube, TikTok, Threads, Bluesky, Reddit, Telegram, Discord, Mastodon, Facebook, Pinterest).
Plan, write, schedule and measure your team's LinkedIn posts in Scripe from your AI assistant.
Google Ads, Meta Ads, GA4, LinkedIn Ads, TikTok Ads, Search Console, Shopify and 40+ more platforms inside one MCP. Report, audit, and create or edit campaigns from chat, with per-account Read-only or Read & write, per-action switches, and destructive actions off until an admin turns them on.
Free, cited reference data for US law-firm marketing: lawyer advertising rules for all 50 states and DC, bar ad-filing fees, contingency fee caps, ethics opinions (incl. AI), ad-platform policies, federal MDL dockets, federal civil filings, statutes of limitations, law-office competition and legal deserts by county, lawyer wages, fatal crashes, CFPB, EEOC and FCC complaint data. Every answer carries its source, DOI and the date it was checked. Main server: 24 tools; one more server per dataset at /mcp/<dataset>. Read-only, no sign-in, CC BY 4.0. Published by Probative Growth, a marketing agency for law firms. Not legal advice.
XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs
Salesbot lets your AI assistant run careful, personal LinkedIn outreach. Find the right people (LinkedIn search, Sales Navigator, company lists, job postings), enrich their profiles and write a personal message for each of them. Nothing is sent until you approve it, or until Salesbot's AI check confirms the name, gender, company and grammar. Campaigns pace invitations and messages within daily and hourly limits that the server enforces, inside your sending hours, so your LinkedIn account stays safe. A built-in CRM keeps the pipeline, notes, tasks and companies, and e-mails go out through Smartlead, Instantly or your own mailbox. Sign in with your Salesbot account (OAuth) or use an API key. Built for a few well-chosen people at a time, not bulk blasting.
Draft, find, update and sign contracts in fynk, the European contract management platform. Your AI assistant can search and summarize your documents, create contracts from templates or PDFs, fill in parties, signatories and dynamic fields, build templates, manage tags, teams and metadata, and send documents out for e-signature (SES, AES, QES). It acts with your own fynk permissions via OAuth. Requires an Essential, Business or Pro plan (14-day free trial) with MCP enabled by an account admin.
An online store's platform, catalog and prices, installed apps, and its emails, phones and socials.
Find and enrich people from 750M professional profiles, with Next Move Signal job-change scores.
# **RChilli** RChilli MCP Hub is a production-grade Model Context Protocol (MCP) server that exposes RChilli’s HR data intelligence platform through AI-callable tools. Built on 15+ years of HR data intelligence, RChilli supports ATS vendors, HR technology platforms, staffing agencies, and enterprise recruiting teams worldwide. The tools return consistent, structured JSON responses for recruiting, talent intelligence, skills, matching, compliance, and HR workflow use cases. `userkey` and `subuserid` are injected automatically from the Bearer token and must not be passed manually. <br> --- <br> # **Available Tools** <br> > ### **`analyze_hr_call`** > > Transcribes and analyzes HR or recruiting call recordings to extract speaker turns, sentiment, candidate intent, action items, skill mentions, and structured follow-up data for recruiting operations. <br> > ### **`analyze_skill_adjacency`** > > Identifies related, adjacent, and transferable skills to support skill discovery, talent mobility, workforce planning, and candidate evaluation. <br> > ### **`analyze_skill_gap`** > > Compares candidate or employee skills against a target job and returns present skills, missing skills, readiness score, and development areas for hiring, internal mobility, and workforce planning. <br> > ### **`autocomplete_job_profile`** > > Accepts a partial job title and returns ranked autocomplete suggestions with canonical titles and job families. Ensures job titles map to standardized taxonomy profiles from the moment a recruiter starts typing. <br> > ### **`autocomplete_skill`** > > Accepts a partial skill string and returns ranked autocomplete suggestions with canonical skill names and categories. Helps prevent free-text entry errors and keeps skill data clean. <br> > ### **`classify_job_zone`** > > Reads the job profile from a resume or job description and returns its O*NET Job Zone, from Zone 1 through Zone 5, based on the education, experience, and training preparation required for the role. <br> > ### **`convert_document_format`** > > Accepts a document as base64 or URL and converts between PDF, DOCX, RTF, HTML, and plain text. Useful as a pre-processing step before extracting data from non-standard document formats. <br> > ### **`detect_bias`** > > Reviews job descriptions and hiring criteria for gendered language, age-coded terms, unnecessary credential inflation, cultural exclusion signals, and related compliance risks. Suggests neutral replacements. <br> > ### **`detect_resume_suspicion`** > > Reviews candidate profile data for possible inconsistencies, unusual claims, timeline conflicts, missing context, and other signals that require recruiter review. <br> > ### **`extract_contacts`** > > Identifies and structures names, emails, phone numbers, LinkedIn URLs, and addresses with field-level confidence scores from candidate records, emails, or documents. <br> > ### **`extract_job_data`** > > Extracts and converts job descriptions into structured hiring data including job title, required skills, preferred skills, responsibilities, experience, education, and taxonomy-normalized role requirements. <br> > ### **`extract_resume_data`** > > Extracts and converts resumes, CVs, and candidate documents into structured, searchable profiles with contact details, skills, experience, education, certifications, and taxonomy-enriched data for ATS, HCM, and AI recruiting workflows. Supports multilingual extraction, batch processing, resume auto-fill, and reprocessing of historical resumes. <br> > ### **`extract_resume_data_from_url`** > > Accepts a direct URL to a PDF, DOCX, or RTF file and returns the same normalized JSON profile as Resume Data Extraction. Ideal for resumes stored in cloud storage, S3, email attachments, or other URL-accessible sources. <br> > ### **`find_matches_in_index`** > > Accepts a resume or job description as input and returns the top matching documents from the indexed corpus, ranked by semantic similarity. <br> > ### **`generate_interview_questions`** > > Creates technical, behavioral, situational, and competency-based interview questions tailored to a role and candidate profile, including question type, competency, and expected answer signals. <br> > ### **`generate_jd`** > > Generates structured job descriptions with title, responsibilities, required skills, preferred skills, qualifications, tone alignment, language support, and inclusivity scoring from role inputs. <br> > ### **`geolocate`** > > Converts partial or informal location text into structured city, state, country, ISO codes, latitude, and longitude. Supports radius-based candidate search and workforce planning. <br> > ### **`index_document`** > > Indexes a resume or job description in RChilli Search & Match so it can be searched, matched, updated, and reused across candidate matching, job matching, and similarity-search workflows. <br> > ### **`lookup_job_profile`** > > Returns authoritative detail for a known job profile including canonical title, SOC/O*NET code, job family, typical required and preferred skills, salary bands, and work context. <br> > ### **`lookup_skill`** > > Returns authoritative detail for a known skill including description, aliases, related skills, proficiency levels, and O*NET or ESCO mappings. <br> > ### **`map_job_to_skills`** > > Converts job descriptions into granular skill maps with required and preferred skill clusters, proficiency signals, taxonomy tags, and downstream matching attributes. <br> > ### **`match_end_to_end`** > > Orchestrates data extraction, indexing, taxonomy normalization, and matching to return ranked candidates or jobs with scores, explainable results, and an audit trail from a single call. <br> > ### **`normalize_candidate_data`** > > Cleans and normalizes candidate records from multiple ATS or HR systems, resolves field conflicts, deduplicates records, and produces standardized candidate data with a field-level change log. <br> > ### **`normalize_hr_data_with_lov`** > > Maps raw and inconsistent HR data values, including degrees, universities, certifications, job profiles, skills, and locations, to the closest configured List of Values entry with a standardized value and confidence score. <br> > ### **`recommend_learning_path`** > > Builds structured learning paths with prerequisites, skill sequence, certifications, proficiency targets, and LMS alignment based on a person’s profile and target role. <br> > ### **`redact_resume`** > > Redacts configured personally identifiable information from candidate profiles to support anonymized review, bias-aware screening, compliance workflows, and audit logs. <br> > ### **`reformat_resume_with_template`** > > Applies one of the RChilli resume templates, TM001 through TM006, to a structured candidate profile and produces a consistently formatted PDF, DOCX, RTF, or HTML document. <br> > ### **`score_resume_against_jd`** > > Accepts one resume and one job description and returns an overall match score, dimension scores, matched skills, skill gaps, and a natural-language explanation. No index is required. <br> > ### **`screen_application_batch`** > > Evaluates a batch of candidates against job requirements and custom criteria, returning scores, insights, skill gaps, and recommended next actions for each candidate. <br> > ### **`search_indexed_documents`** > > Accepts a query string and returns ranked document references from the tenant’s indexed corpus. Supports Boolean and semantic search modes. <br> > ### **`skill_mapping`** > > Maps raw skill text to standardized RChilli taxonomy skills, aliases, classifications, and related skill information. <br> > ### **`tag_entities`** > > Annotates extracted HR text by wrapping recognized entities in structured XML-style labels. Supported entities include job titles, skills, names, degrees, organizations, locations, countries, dates, and years.
