Integration
Connect Metaview and Specter
When New Conversation fires in Metaview, your agent runs Enrich Person by Email in Specter, or New Acquisition in Specter to Send sourcing message in Metaview. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Metaview and Specter to do together?
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Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.
Set it up in your client
Claude Code
Run this in the directory you want to work in.
claude mcp add --transport http -s project apiant-ai https://mcp.apiant.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)Claude, web and desktop
Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.
Setup guide (opens in a new tab)Cursor
Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.
Setup guide (opens in a new tab)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)Codex and the ChatGPT desktop app
Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.
Setup guide (opens in a new tab)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
Setup guide (opens in a new tab)Any other MCP client
Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.
Setup guide (opens in a new tab)Example flows
What Metaview and Specter can do together
From Metaview to Specter
When New Conversation in Metaview
then Enrich Person by Email in Specter
From Specter to Metaview
Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.
Everything your agent can do with Metaview and Specter
Triggers and actions 8 triggers · 50 actions
- New Conversation
Triggers when a new conversation is available in Metaview.
- Build chart
Creates a visual chart from conversation data with optional filtering, grouping, and timezone adjustment.
- Check enrichment status
Returns enrichment status and usage metrics for candidate data, with options to scope by person or enrichment type.
- Create AI field
Creates a new AI-powered field that analyzes conversations to answer a custom question, with configurable value type.
- Create report
Builds a report from conversations with filtering, metrics, grouping, and custom field inclusion.
- Fetch candidates
Looks up candidate information by ID, LinkedIn URL, email, or phone number in bulk.
- Find candidate's sequences
Finds which outreach sequences a candidate is enrolled in using their ID, LinkedIn URL, email, or phone.
- Get note template
Returns a note generation template by ID for use in automating note creation.
- Get search details
Retrieves configuration and results for a sourcing search by ID.
- Get sourcing analytics
Returns sourcing analytics and metrics grouped by user, search, or date range with filtering options.
- Get sourcing messages
Lists outreach messages sent in a sourcing search with pagination support.
- Get User Context
Returns information about the connected user account and available features.
- Give sourcing feedback
Submits feedback on candidates from a sourcing search, optionally linking to the search that sourced them.
- Group conversations
Groups recorded conversations by a field (like recruiter, stage, or outcome) and returns counts and metrics per group.
- List application reviews
Returns a list of application reviews, optionally filtering by name or showing only active ones.
- List ATS jobs
Returns ATS job postings, optionally filtered by job title.
- List ATS stages
Returns hiring pipeline stages for a job, or workspace-level stages if no job is specified.
- List available fields
Returns available data fields for reports, optionally filtered by name.
- List candidates in sequence
Returns candidates enrolled in a sequence, with optional enrollment status and per-step delivery details.
- List field values
Returns distinct values for a field across conversations, useful for building filters or dropdowns.
- List mailboxes
Returns email mailboxes available in this Metaview workspace.
- List note template folders
Returns folders of note templates organized in the workspace.
- List note templates
Returns note templates available in the workspace, optionally filtered by name or with full section details.
- List sequences
Returns candidate sequences, optionally filtered by name, creator, or status; includes full configuration if requested.
- List sourcing candidates
Returns candidates from a specified sourcing search with optional filtering by pack, feedback status, and detail level.
- List sourcing searches
Returns all sourcing searches with optional pagination.
- Manage candidate sequence
Adds, pauses, resumes, cancels, removes, or updates candidate enrollments in a recruitment sequence.
- Manage note template
Creates, updates, or deletes call note templates with customizable sections for structured note-taking.
- Manage sequence
Creates, updates, duplicates, or deletes recruitment sequences.
- Search conversations
Searches call conversations with optional filtering, sorting, and field selection.
- Search reports
Searches reports by name, category, or ID with optional full configuration details.
- Send sourcing message
Starts or continues a sourcing or research search with a message to the AI agent.
- New Acquisition
Triggers when Specter records a new acquisition.
- New Funding Round
Triggers when Specter records a new funding round at any company.
- New IPO
Triggers when Specter records a new IPO.
- New Strategic Intelligence
Triggers when Specter detects a new investor-interest signal (strategic intelligence) about a company or person.
- New Strategic Intelligence in Saved Search
Triggers when an investor-interest saved search in Specter gets new results.
- New Talent Signal
Triggers when Specter detects a new talent signal, such as a founder going into stealth or an executive changing roles.
- New Talent Signal in Saved Search
Triggers when a talent saved search in Specter gets new results.
- AI Search
Searches Specter with a plain-English query and returns matching records.
- Create Company List
Creates a new company list and returns its ID.
- Delete Company List
Permanently deletes a company list.
- Enrich Company
Looks up a company by its domain or website and returns Specter's full company record.
- Enrich Investor
Looks up investors by website and/or name and returns matching Specter investor records.
- Enrich Person
Looks up a person by LinkedIn URL and returns their Specter professional profile.
- Enrich Person by Email
Resolves an email address to the most probable person and returns their Specter profile.
- Get Company
Returns the full Specter record for one company by its Specter company ID.
- Get Company Employees
Returns the founders and employees Specter has on file for a company.
- Get Company Funding Rounds
Returns a company's funding rounds, newest first, with participating investors.
- Get Credit Balance
Returns your team's Specter API credit limit, usage and remaining balance.
- Get Funding Round
Returns one funding round by its Specter ID, with the company and investors.
- Get Investor
Returns the full Specter investor record by investor ID.
- Get Person
Returns the full professional profile of a person by Specter person ID.
- Get Person Email
Returns a contactable email address for a person.
- List Company Lists
Returns the company lists your API key can reach.
- List Saved Searches
Returns the saved searches your API key can reach, with their new and total result counts.
- Search Entities by Name
Fuzzy-matches a name across Specter companies, people and investors.
- Update Company List
Adds and/or removes companies in an existing company list.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
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Questions
Metaview and Specter, answered
What can start an automation from Metaview?
Any of Metaview's 1 trigger in the catalog, including New Conversation. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Specter when something happens in Metaview?
Any of Specter's 19 actions, including Create Company List, Update Company List, AI Search and Enrich Company. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Specter to Metaview?
Yes. When something happens in Specter, your agent can act in Metaview too. This page covers both directions: Specter's triggers and Metaview's actions are listed here as well.
Do I have to build a connector for Metaview or Specter?
No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.
Can my AI client use Metaview and Specter without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.
What happens when something fails?
Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.
Is there a free plan?
Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.