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EBI PDBe MCP Server for LlamaIndexGive LlamaIndex instant access to 16 tools to Get Assemblies, Get Binding Sites, Get Cofactors, and more

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

Ask AI about this MCP Server for LlamaIndex

The EBI PDBe MCP Server for LlamaIndex is a standout in the The Unthinkable category — giving your AI agent 16 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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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 EBI PDBe. "
            "You have 16 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in EBI PDBe?"
    )
    print(response)

asyncio.run(main())
EBI PDBe
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About EBI PDBe MCP Server

Connect to the PDBe (Protein Data Bank in Europe) API and access the world's most comprehensive repository of experimentally determined 3D macromolecular structures.

LlamaIndex agents combine EBI PDBe tool responses with indexed documents for comprehensive, grounded answers. Connect 16 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

  • Structure Summaries — Get titles, authors, deposition dates, resolution, and experimental methods for any PDB entry
  • Molecular Entities — Retrieve protein chains, nucleic acids, ligands, their sequences, source organisms, and gene names
  • Binding Sites & Ligands — Access ligand binding pocket residues, small molecule ligands with formulas and weights
  • Quality Assessment — Check resolution, R-factors, and overall quality scores for structure reliability
  • UniProt Mappings — Map between UniProt sequence positions and PDB residue numbers
  • Biological Assemblies — Understand quaternary structure — monomer, dimer, tetramer, or higher-order complexes
  • Structure Search — Full-text Solr search across 200+ PDB metadata fields
  • Publications — Find primary citations, PubMed IDs, and related structural studies

The EBI PDBe MCP Server exposes 16 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 16 EBI PDBe tools available for LlamaIndex

When LlamaIndex connects to EBI PDBe through Vinkius, your AI agent gets direct access to every tool listed below — spanning pdb, protein-structure, 3d-structures, 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.

get

Get assemblies on EBI PDBe

Returns assembly IDs, composition (which entities and how many copies), preferred assembly flag, and form description. Critical for understanding whether a protein functions as a monomer, dimer, tetramer, or higher-order complex. Get biological assembly information (quaternary structure)

get

Get binding sites on EBI PDBe

Critical for drug discovery, molecular docking, and understanding protein-ligand interactions. Get ligand binding site residues and interactions

get

Get cofactors on EBI PDBe

Cofactors like heme, NAD+, FAD, and metal ions are essential for enzyme catalysis and protein function. Get cofactor and prosthetic group annotations

get

Get experiment on EBI PDBe

Get experimental method details for a structure

get

Get ligand monomers on EBI PDBe

Returns chemical component IDs, names, molecular formulas, molecular weights, and their chain/residue positions. Essential for drug discovery and understanding protein-small molecule interactions. Get small molecule ligands bound in the structure

get

Get modified residues on EBI PDBe

Shows the parent compound ID and modification name. Get non-standard amino acids and nucleotides

get

Get molecules on EBI PDBe

Returns entity IDs, molecule types, names, chain assignments, sequence lengths, molecular weights, source organisms, and gene names. Get molecular entities (chains, polymers) in a structure

get

Get mutated residues on EBI PDBe

Shows the original residue, mutated residue, chain, and position. Essential for understanding how the crystallized construct differs from the native protein. Get engineered mutations vs. wild-type sequence

get

Get publications on EBI PDBe

Useful for finding the primary citation and methodology papers for a structure. Get associated journal publications and PubMed IDs

get

Get quality scores on EBI PDBe

The first thing a structural biologist checks when evaluating a structure for reliability. Get global quality metrics for a structure

get

Get related entries on EBI PDBe

Useful for discovering alternative conformations, mutants, or complexes of the same protein that have been structurally characterized. Get related PDB entries citing the same publications

get

Get residue listing on EBI PDBe

Shows residue names, numbers (both PDB and author numbering), organized by entity and chain. Returns a sample of the first 20 residues per chain for efficiency. Get full residue-level inventory per chain

get

Get secondary structure on EBI PDBe

Shows the count of helices and strands per chain, organized by molecular entity. Essential for understanding protein fold topology. Get helix, sheet, and coil assignments per residue

get

Get summary on EBI PDBe

Use a 4-character PDB ID such as 1cbs, 4hhb, 6lu7. Get PDB entry summary with title, authors, and resolution

get

Get uniprot mapping on EBI PDBe

Returns UniProt accessions, chain assignments, and start/end position mappings. Essential for cross-referencing between protein sequence databases and 3D structural data. Get UniProt to PDB residue mappings

search

Search structures on EBI PDBe

Use natural language queries like "insulin receptor kinase", "SARS-CoV-2 spike protein", "cryo-EM resolution<3", or specific organism names. Returns PDB IDs, titles, methods, resolutions, and organisms. Search PDB structures with full-text queries

Connect EBI PDBe to LlamaIndex via MCP

Follow these steps to wire EBI PDBe into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 16 tools from EBI PDBe

Why Use LlamaIndex with the EBI PDBe MCP Server

LlamaIndex provides unique advantages when paired with EBI PDBe through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine EBI PDBe tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain EBI PDBe tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query EBI PDBe, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what EBI PDBe tools were called, what data was returned, and how it influenced the final answer

EBI PDBe + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the EBI PDBe MCP Server delivers measurable value.

01

Hybrid search: combine EBI PDBe real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query EBI PDBe to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying EBI PDBe for fresh data

04

Analytical workflows: chain EBI PDBe queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for EBI PDBe in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with EBI PDBe immediately.

01

"Show me the structure summary and quality of the SARS-CoV-2 main protease (6lu7)."

02

"What ligands are bound in the hemoglobin structure 4hhb?"

03

"Search for cryo-EM structures of ribosome complexes."

Troubleshooting EBI PDBe MCP Server with LlamaIndex

Common issues when connecting EBI PDBe to LlamaIndex through Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

EBI PDBe + LlamaIndex FAQ

Common questions about integrating EBI PDBe MCP Server with LlamaIndex.

01

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.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query EBI PDBe tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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