uniprot-unipressed-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@uniprot-unipressed-mcpsearch for human BRCA1 protein"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
UniProt MCP Server
An MCP (Model Context Protocol) server that provides tools for querying the UniProt protein database using the unipressed Python library.
Features
Search proteins using standard the UniProt query syntax across UniProtKB, UniParc, or UniRef databases
Fetch specific entries by accession ID
Pagination for large result sets
Field selection to control returned data
JSON format responses by default - responses are returned in JSON format, with TOON format available as an option
Installation
Using uv (recommended)
uv syncThis will create a virtual environment and install all dependencies.
Development installation
uv sync --extra devThis installs the package with development dependencies (pytest, etc.).
Usage
Running the server
With uvx (recommended)
uvx uniprot-unipressed-mcpOr from a git repository:
uvx --from git+https://github.com/pansapiens/uniprot-unipressed-mcp uniprot-mcpAlternative example: with the FastMCP CLI and HTTP transport
fastmcp run src/uniprot_mcp/server.py:mcp --transport http --port 8007Configuring with MCP clients
Claude Code
Add the server using the Claude Code CLI:
claude mcp add uniprot-unipressed-mcp -- uvx git+https://github.com/pansapiens/uniprot-unipressed-mcpOther MCP clients
Or manually add to your MCP configuration (Claude Code, Cursor, etc.):
{
"mcpServers": {
"uniprot-unipressed-mcp": {
"command": "uvx",
"args": ["git+https://github.com/pansapiens/uniprot-unipressed-mcp"]
}
}
}Response Format
Tool responses are returned in JSON format by default. To receive TOON format responses instead, use the response_format parameter with value "toon":
# JSON format (default)
result = uniprot_search(query="gene:BRCA1")
# TOON format
result = uniprot_search(query="gene:BRCA1", response_format="toon")Tools
uniprot_search
Search the UniProt protein database using query syntax.
Parameters:
Parameter | Type | Required | Default | Description |
query | string | Yes | - | UniProt query string |
database | string | No | "uniprotkb" | Database to search: uniprotkb, uniparc, uniref |
limit | integer | No | 10 | Results per page (1-100) |
fields | list[string] | No | None | Return fields to include |
cursor | string | No | None | Pagination cursor from previous result |
response_format | string | No | "json" | Response format: "json" (default) or "toon" |
Example queries:
gene:BRCA1 # Search by gene name
organism_id:9606 # Human proteins (NCBI taxonomy ID)
(gene:BRCA*) AND (organism_id:10090) # Mouse BRCA genes with wildcard
length:[500 TO 700] # Proteins of specific length range
keyword:kinase # By UniProt keyword
family:serpin # By protein family
ec:3.2.1.23 # By enzyme classification
reviewed:true # Only Swiss-Prot reviewed entriesResponse:
By default, responses are returned in JSON format. When response_format="toon" is specified, responses are returned in TOON format (a compact string):
JSON format (default):
{
"results": [...],
"total": 1234,
"nextCursor": "eyJvZmZzZXQiOiAxMH0="
}TOON format:
results[10]:
- entryType: UniProtKB reviewed (Swiss-Prot)
primaryAccession: P38398
secondaryAccessions[7]: E9PFZ0,O15129,Q1RMC1,Q3LRJ0,Q3LRJ6,Q6IN79,Q7KYU9
uniProtkbId: BRCA1_HUMAN
...etc...uniprot_fetch
Fetch specific protein entries by their UniProt accession IDs.
Parameters:
Parameter | Type | Required | Default | Description |
ids | list[string] | Yes | - | UniProt accession IDs to fetch |
database | string | No | "uniprotkb" | Database to fetch from |
fields | list[string] | No | None | Return fields to include |
response_format | string | No | "json" | Response format: "json" (default) or "toon" |
Example:
uniprot_fetch(ids=["P62988", "A0A0C5B5G6"])Response:
By default, responses are returned in JSON format. When response_format="toon" is specified, responses are returned in TOON format (a compact string):
JSON format (default):
{
"results": [...],
"found": 2,
"requested": 2
}TOON format:
results[10]:
- entryType: UniProtKB reviewed (Swiss-Prot)
primaryAccession: P38398
secondaryAccessions[7]: E9PFZ0,O15129,Q1RMC1,Q3LRJ0,Q3LRJ6,Q6IN79,Q7KYU9
uniProtkbId: BRCA1_HUMAN
...etc...Pagination
The server uses cursor-based pagination for search results. When more results are available, the response includes a nextCursor field. Pass this cursor in subsequent requests to retrieve the next page:
# First request
result1 = uniprot_search(query="organism_id:9606", limit=10)
# Get next page using cursor
if "nextCursor" in result1:
result2 = uniprot_search(
query="organism_id:9606",
limit=10,
cursor=result1["nextCursor"]
)Databases
Database | Description |
uniprotkb | UniProt Knowledgebase - curated protein sequences and annotations |
uniparc | UniProt Archive - comprehensive protein sequence archive |
uniref | UniProt Reference Clusters - clustered protein sequences |
Return Fields
Common return fields include:
accession- UniProt accession numberid- Entry namegene_names- Gene namesprotein_name- Protein namesorganism_name- Source organismorganism_id- NCBI taxonomy IDlength- Sequence lengthmass- Molecular masssequence- Amino acid sequencecc_function- Function annotationcc_subcellular_location- Subcellular location
See the UniProt return fields documentation for the complete list.
Development
Using a local copy of the repository
{
"mcpServers": {
"uniprot-unipressed-mcp": {
"command": "uv",
"args": ["--directory", "/path/to/uniprot-unipressed-mcp", "run", "-m", "uniprot_mcp.server"]
}
}
}Testing using the MCP Inspector
npx @modelcontextprotocol/inspector uv --directory $(pwd) run -m uniprot_mcp.serverRunning tests
uv run pytestThis runs all unit tests. Integration tests (which require network access to the UniProt API) are skipped by default.
Running integration tests
Integration tests can be enabled using an environment variable:
RUN_INTEGRATION_TESTS=1 uv run pytestOr run only integration tests:
RUN_INTEGRATION_TESTS=1 uv run pytest -m integrationRunning tests with coverage
uv run pytest --cov=uniprot_mcpTo include integration tests in coverage:
RUN_INTEGRATION_TESTS=1 uv run pytest --cov=uniprot_mcpResources
TOON Format - Alternative serialization format available as an option
Licence
MIT
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