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neuralverge

NeuralVerge MCP Server

Official
by neuralverge

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
MCP_HTTP_PATHNoHTTP path for the MCP endpoint. Defaults to /mcp./mcp
MCP_HTTP_PORTNoPort for http transport. Defaults to 8787.8787
MCP_TRANSPORTNoTransport mode: 'stdio' (default) or 'http'.stdio
MCP_HTTP_AUTH_TOKENNoIf set, http transport requires Authorization: Bearer <token> on every request.
NEURALVERGE_API_KEYYesYour NeuralVerge API bearer token (required).
NEURALVERGE_BASE_URLNoOverride the NeuralVerge API base URL. Defaults to https://api.neuralverge.ai.https://api.neuralverge.ai

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
run_researchA

Starts the full NeuralVerge AI research workflow (multi-step search, analysis, and structured reporting) and returns a session_id immediately. Poll get_session_status with that session_id until status is 'complete' or 'failed'.

run_agentA

Runs a saved NeuralVerge agent (a reusable, preconfigured workflow) by its agentId and returns a session_id immediately. Poll get_session_status with that session_id until status is 'complete' or 'failed'.

get_session_statusA

Returns the current status of an AI Research or AI Agent session (queued/running/complete/failed) and the final result (human-readable summary plus machine-readable JSON) once processing completes.

run_searchA

Runs a synchronous web search and returns a structured list of ranked results (title, url, snippet) immediately, without polling.

run_extractA

Loads a webpage by URL and extracts structured data from it according to natural-language instructions and/or a JSON schema. Synchronous — returns the result immediately.

run_linkedin_emailA

Looks up a LinkedIn profile by its full profile URL and returns contact details, including an email address when available.

run_linkedin_domainA

Finds a LinkedIn profile matching a company name or domain plus a full name.

run_linkedin_company_searchA

Searches LinkedIn companies by a text query with optional filters (size, industry, location).

run_linkedin_people_searchA

Searches LinkedIn people using an optional free-text query and a rich set of advanced filters (company, title, seniority, location, experience, industry).

run_linkedin_company_employeeA

Searches LinkedIn employees of one or more given companies, using the same people-style filters as run_linkedin_people_search.

run_email_enrichmentA

Enriches a known email address with associated profile data (name, phone, company, position, LinkedIn/X profiles) when available.

run_email_validationA

Validates an email address and returns deliverability signals (valid/invalid/risky, catch-all detection, provider, confidence).

run_email_finderB

Finds a professional email address for a person given their company domain, first name, and last name.

run_phone_enrichmentB

Enriches a known phone number with associated profile data (name, email, company, LinkedIn/X profiles, carrier) when available.

run_phone_enrichment_usA

Validates and enriches a US phone number with carrier, line type, activity score, litigator risk, and owner details.

run_crunchbase_companyA

Fetches structured company data (website, location, founding year, employees, industries, funding, description) from a Crunchbase company URL.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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