Proxycurl (LinkedIn Data) MCP Server for LlamaIndexGive LlamaIndex instant access to 18 tools to Add Monitor Target, Check Disposable Email, Company Website Lookup, and more

Name: Proxycurl (LinkedIn Data)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Proxycurl (LinkedIn Data) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The Proxycurl (LinkedIn Data) MCP Server for LlamaIndex is a standout in the Sales Automation category — giving your AI agent 18 tools to work with, ready to go from day one.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Proxycurl (LinkedIn Data). "
            "You have 18 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Proxycurl (LinkedIn Data)?"
    )
    print(response)

asyncio.run(main())

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About Proxycurl (LinkedIn Data) MCP Server

Connect Proxycurl to your AI agent to access real-time B2B intelligence and LinkedIn-derived data. This server provides a powerful suite of tools for sales, recruitment, and market research.

LlamaIndex agents combine Proxycurl (LinkedIn Data) tool responses with indexed documents for comprehensive, grounded answers. Connect 18 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Company Intelligence — Resolve company names to websites, fetch logos, and retrieve deep metadata including industry and leadership using company_website_lookup and get_company_details.
Financial Insights — Access complete funding histories, investment rounds, and participating investors for private and public companies via get_company_funding.
People Data — Enrich professional profiles from work emails or names with get_employee_profile, and search for employees within specific organizations using search_employees.
Market Analysis — Identify competitors based on product similarity with get_competitor_listing and list probable customers or partners.
Monitoring — Create and manage monitor feeds to track organizational changes over time using create_monitor_feed.

The Proxycurl (LinkedIn Data) MCP Server exposes 18 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 18 Proxycurl (LinkedIn Data) tools available for LlamaIndex

When LlamaIndex connects to Proxycurl (LinkedIn Data) through Vinkius, your AI agent gets direct access to every tool listed below — spanning linkedin-data, b2b-intelligence, company-enrichment, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add monitor target on Proxycurl (LinkedIn Data)

Add a target to an existing monitor feed

check

Check disposable email on Proxycurl (LinkedIn Data)

Detect temporary or throwaway email addresses

company

Company website lookup on Proxycurl (LinkedIn Data)

Resolve a company name to its canonical website URL

create

Create monitor feed on Proxycurl (LinkedIn Data)

Create a new monitor feed for company changes

get

Get company details on Proxycurl (LinkedIn Data)

Retrieve comprehensive company metadata and leadership teams

get

Get company employee count on Proxycurl (LinkedIn Data)

Retrieve the estimated headcount range for a company

get

Get company funding on Proxycurl (LinkedIn Data)

It may take up to 5 minutes. Retrieve full funding history, rounds, and participating investors

get

Get company logo on Proxycurl (LinkedIn Data)

Retrieve a 128x128 PNG logo URL for any company

get

Get company updates on Proxycurl (LinkedIn Data)

Aggregate blog posts and X/Twitter updates into a mixed timeline

get

Get competitor listing on Proxycurl (LinkedIn Data)

Find competitors and the reasoning (keyword overlap or product similarity)

get

Get credit balance on Proxycurl (LinkedIn Data)

Check your remaining API credit balance

get

Get customer listing on Proxycurl (LinkedIn Data)

Get a list of probable customers, investors, and partner platforms

get

Get employee profile on Proxycurl (LinkedIn Data)

Enrich professional profiles from work emails or name/employer combinations

get

Get monitor rss on Proxycurl (LinkedIn Data)

Get the RSS feed for a specific monitor feed

get

Get similar employees on Proxycurl (LinkedIn Data)

Repeat queries are served free from cache. Find counterparts in similar roles at competing companies

list

List monitor feeds on Proxycurl (LinkedIn Data)

List all active monitor feeds

lookup

Lookup work email on Proxycurl (LinkedIn Data)

Best-effort lookup of a public work email from a name and domain

Search employees on Proxycurl (LinkedIn Data)

Find current employees of a company by role and geography

Connect Proxycurl (LinkedIn Data) to LlamaIndex via MCP

Follow these steps to wire Proxycurl (LinkedIn Data) into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 18 tools from Proxycurl (LinkedIn Data)

Why Use LlamaIndex with the Proxycurl (LinkedIn Data) MCP Server

LlamaIndex provides unique advantages when paired with Proxycurl (LinkedIn Data) through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Proxycurl (LinkedIn Data) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Proxycurl (LinkedIn Data) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Proxycurl (LinkedIn Data), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Proxycurl (LinkedIn Data) tools were called, what data was returned, and how it influenced the final answer

Proxycurl (LinkedIn Data) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Proxycurl (LinkedIn Data) MCP Server delivers measurable value.

Hybrid search: combine Proxycurl (LinkedIn Data) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Proxycurl (LinkedIn Data) to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Proxycurl (LinkedIn Data) for fresh data

Analytical workflows: chain Proxycurl (LinkedIn Data) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Proxycurl (LinkedIn Data) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Proxycurl (LinkedIn Data) immediately.

"Find the official website for 'Nvidia'."

"Show me the funding history for 'SpaceX'."

"Who are the main competitors for 'Zoom'?"

Troubleshooting Proxycurl (LinkedIn Data) MCP Server with LlamaIndex

Common issues when connecting Proxycurl (LinkedIn Data) to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Proxycurl (LinkedIn Data) + LlamaIndex FAQ

Common questions about integrating Proxycurl (LinkedIn Data) MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Proxycurl (LinkedIn Data) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.