Signaturely

@Signaturely show me all documents sent in the last 30 days that are still waiting for signatures

Found 7 documents awaiting signatures from the past month. Top items: 'Q1 Contractor Agreement' sent to alex@example.com (3 days old, 1 of 2 signatures complete), 'NDA - Acme Corp' sent to legal@acme.co (12 days old, no signatures yet), 'Freelance SOW - March' sent to jordan@design.io (5 days old, fully signed but awaiting countersignature). The remaining 4 documents are between 8-28 days old. All are accessible in your Signaturely dashboard for follow-up.

This example uses the List Documents tool with date and status filters. Requires a valid API key with read permissions. Response shape depends on your account's document volume—high-traffic accounts may need pagination. The MCP returns metadata only; it won't fetch PDF content or trigger reminder emails.

@Signaturely pull up all my reusable templates so I can see what's ready to send

Retrieved 5 active templates from your account: 'Standard NDA (2-party)', 'Independent Contractor Agreement', 'Service Level Agreement - Enterprise', 'Photo Release Form', and 'Equipment Loan Agreement'. Each template includes pre-configured signature fields and can be sent directly from Signaturely's interface. The 'Standard NDA' template was last used 4 days ago; 'Equipment Loan Agreement' hasn't been used in 60+ days.

This uses the List Templates tool, which filters the documents endpoint for template-flagged items. Useful for auditing what's available before creating a new document. The MCP surfaces template names and metadata but won't expose field-level configuration (signature positions, custom fields). No write capability—you can't create or edit templates via this MCP.

@Signaturely compare my pending documents to my templates and tell me which agreement types I'm sending most often

Analyzed 23 pending documents against your 5 templates. The 'Independent Contractor Agreement' template accounts for 13 of those sends (57%), followed by 'Standard NDA' at 6 sends (26%). The 'Service Level Agreement - Enterprise' template has 3 active instances, while 'Photo Release' and 'Equipment Loan Agreement' have 1 and 0 respectively. This suggests contractor onboarding is your highest-volume use case. One document ('Custom Partnership Terms') doesn't match any template—it was likely created ad hoc.

This synthesis example pairs both MCP tools with the AI's reasoning to surface usage patterns. The MCP provides raw document and template lists; the AI infers trends. Accuracy depends on consistent template naming—if you rename templates or send off-template documents frequently, the match rate drops. This is read-only analysis; no documents are modified.

When Signaturely beats manual contract tracking for small HR teams

A 6-person startup hiring its first three remote contractors needs offer letters signed fast. Signaturely's MCP gives your AI agent direct access to document status without opening the web app—useful when you're juggling multiple candidates and need to know who signed, who's pending, and which template to reuse. The two-tool limit (list documents, list templates) means this works for status checks and template selection, not document creation or sending. If your hiring volume is under 10 contracts per month and you already use Signaturely, the MCP saves 15 minutes per hiring round. Above that volume, or if you need the AI to generate and send contracts, you'll hit the tool boundary fast. Best fit: small teams who sign in Signaturely's UI but want AI-assisted tracking during hiring sprints.

Signaturely MCP for agencies tracking service agreements

A 4-person design agency onboards 8-12 clients per quarter, each requiring an NDA and a master service agreement. The Signaturely MCP lets your shared AI workspace answer 'did Client X sign the MSA?' without context-switching to the Signaturely dashboard. This is a narrow win: the MCP lists documents and templates, so it's read-only intelligence for your team's Slack or standup. It won't create agreements, send reminders, or pull signature timestamps—those require the web UI or a fuller API integration. If your onboarding process is mostly 'check if signed, then move to next step', the MCP cuts lookup time from 2 minutes to 10 seconds. If you need the AI to orchestrate the signing flow, this MCP isn't enough. Best for: agencies under 50 active clients who want faster status checks, not automation.

When Signaturely MCP helps finance teams pull contract lists

A 3-person finance team at a 30-employee SaaS company is prepping for an annual audit and needs a list of all vendor agreements signed in the last 12 months. The Signaturely MCP's 'list documents' tool can pull that inventory into your AI workspace, filtered by date, so you can cross-reference against your accounting system without exporting CSVs manually. The limitation: this is a one-time bulk query, not ongoing contract intelligence. The MCP won't parse contract terms, flag renewals, or compare pricing—it's a document inventory tool. If your audit prep is 'get the list, then review manually', the MCP saves 30 minutes. If you need the AI to read and summarize contract clauses, you'll need OCR or a different integration. Best for: small finance teams doing quarterly or annual audits who already store contracts in Signaturely.