Clay MCP

@clay find all contacts at Series B SaaS companies in the Bay Area with engineering leadership titles

Clay returned 47 contacts matching your criteria. The list includes VPs of Engineering, CTOs, and Engineering Directors at companies like Acme Corp (Series B, $30M raised), BuildRight (Series B, $45M raised), and DataFlow Systems (Series B, $25M raised). Each contact record includes verified work email, LinkedIn profile, company funding stage, and last funding date. Results are sorted by company headcount (largest first).

This example shows Clay's enrichment and filtering capabilities across multiple data sources. The quality of results depends on your Clay workspace's connected data providers and credits. Large queries may take 30-60 seconds to process as Clay validates contact information across its network.

@clay enrich these 12 LinkedIn URLs with current job titles, company revenue estimates, and technology stack data

Enrichment complete for 11 of 12 profiles (1 profile is private and returned limited data). Results include: 8 contacts at companies using React and PostgreSQL, 3 at AWS-heavy shops. Estimated company revenues range from $2M to $180M ARR. Two contacts changed roles in the last 90 days—updated titles are now reflected. Full enrichment data has been appended to your original list with confidence scores for each data point.

Clay's enrichment pulls from multiple providers simultaneously, which improves data coverage but consumes credits per lookup. The confidence scores help you assess data reliability—anything below 70% should be manually verified before outreach. Private LinkedIn profiles return only publicly visible fields.

@clay analyze these 200 inbound leads and score them based on company size, tech stack match, and recent funding activity, then draft personalized outreach angles for the top 15

Scoring complete. Top 15 leads average 85/100 (strong fit). Common patterns: 12 use your competitor's product, 8 raised funding in the last 6 months, all have 50-200 employees. Suggested outreach angles include: 'Recent Series A gives you budget to consolidate tools' (5 leads), 'Your current stack has known integration gaps we solve' (7 leads), 'Timing aligns with your Q1 planning cycle' (3 leads). Each angle references specific data points from the enrichment.

This synthesis example combines Clay's enrichment with AI reasoning to prioritize leads and generate context-aware messaging. The scoring logic here is illustrative—you'd define your own criteria in practice. Be aware that enriching 200 records consumes significant Clay credits, and the AI's outreach suggestions should be reviewed for tone and accuracy before use.

When Clay MCP fits outbound prospecting at 5-10 person teams

A 6-person sales team runs outbound campaigns and needs to enrich lead lists with company data, job titles, and contact info before each campaign launch. Clay MCP is the right call here if your team already uses Clay for enrichment workflows and wants to pull that data into Switchy conversations without tab-switching. The OAuth2 setup means each rep authenticates once, then the AI can query enrichment results or trigger waterfall lookups during campaign planning sessions. The trade-off: if your team doesn't already pay for Clay, this MCP won't justify the cost on its own—you're better off with a lighter contact API. If you do use Clay and run 2+ campaigns a week, connecting it to Switchy cuts the copy-paste loop and keeps enrichment context in the same workspace where you draft sequences.

Clay MCP for due diligence data gathering in small VC teams

A 3-person venture fund evaluates 40-60 inbound decks a month and needs fast company background checks—founder LinkedIn profiles, funding history, team size estimates. Clay MCP works if the fund already subscribes to Clay for sourcing and wants to surface that enrichment data inside Switchy deal memos. Each partner authenticates via OAuth2, then the AI can pull company snapshots or run waterfall enrichment on a founder's email during a live memo session. The boundary: if your fund only does 10 deals a year, the manual lookup cost is low enough that a dedicated MCP adds friction instead of speed. But if you're triaging dozens of decks weekly and Clay is already in your stack, this integration keeps research in one thread instead of scattered across tabs and spreadsheets.

When Clay MCP supports account expansion research for CS teams

A 4-person customer success team manages 80 accounts and needs to map org charts and identify expansion contacts before quarterly business reviews. Clay MCP fits if your CS team already uses Clay to track account changes and wants to pull that intel into Switchy planning sessions. OAuth2 auth means each CSM connects once, then the AI can surface recent hires, department growth signals, or contact updates during QBR prep conversations. The catch: if your accounts are mostly SMBs with stable 5-10 person teams, the enrichment overhead outweighs the value—manual LinkedIn checks are faster. But if you manage mid-market accounts with 50+ employees and frequent turnover, Clay MCP keeps expansion research current without leaving the Switchy workspace where you draft account plans.