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  1. Home
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  3. Biorobotics
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Health: ActiveRecent health check succeeded.Last checked 9/6/2026, 10:02:55 PM

Biorobotics

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View RepositoryVisit Website
biologyroboticsbioinformaticsmcpresearch

Converts biological data and EMG inputs into deterministic spatial metrics, G-code parameters, and robotic actuation outputs.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for SEOSiri-Official/biorobotics, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Tool Schemas (6) Directory Badge Claim listing Alternatives📂 More in Biology, Medicine and Bioinformatics

Overview

SEOSiri-Official/biorobotics MCP server exposes six stateless tools for biological data lookup, assay geometry, plate coordinates, pipetting, DNA analysis, and EMG-based actuation. It uses live UniProt data with a local fallback and applies deterministic calculations to return SI-unit metrics, G-code values, or safety-checked motion parameters over MCP stdio. Reach for the SEOSiri-Official/biorobotics MCP server when an MCP client needs research-oriented bioinformatics and laboratory or robotic motion calculations rather than direct hardware control.

Use cases

•Query UniProt sequence parameters from an MCP client
•Map 96-well plate identifiers to millimeter offsets
•Calculate pipetting feedrates and pressure delays
•Estimate DNA melting temperature from a sequence
•Translate EMG readings into prototype actuation parameters

Key features

•UniProt lookup with local fallback data
•SLAS/SBS 96-well coordinate mapping
•SI-unit biotech spatial calculations
•Pipetting feedrate and pressure-delay calculation
•DNA GC-content and melting-temperature calculation
•EMG-to-G-code translation with safety-envelope checks

Capabilities & Tool Schemas (6) ~201 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Biorobotics.

fetch_genomic_data

Queries live sequence parameters from the UniProt REST API, with a local fallback for offline or rate-limited conditions.

resolve_biotech_spatial_intent

Translates assay parameters (concentration, plate scale) into immutable spatial metrics in SI base units.

map_plate_coordinate

Translates alphanumeric well IDs (e.g. `A1`–`H12`) into exact millimeter offsets, per SLAS/SBS 96-well plate standards.

calculate_pipetting_speed

Calibrates G-code feedrate and pressure delay from reagent viscosity and target volume.

calculate_dna_melting_temp

Calculates GC-content and melting temperature (Tm) of a DNA sequence for thermal deck configuration.

translate_emg_to_actuation

Translates EMG muscle signals (µV) into safe joint angles and G-code velocity profiles, with a built-in safety envelope check.

How Biorobotics works

What SEOSiri-Official/biorobotics MCP server does

SEOSiri-Official/biorobotics MCP server connects biological inputs and physiological signals to deterministic calculations for laboratory automation and robotic motion planning. It does not present itself as a clinical control system or a complete hardware controller. Instead, it returns structured values such as sequence information, spatial offsets, feedrates, delays, DNA melting temperatures, joint angles, and G-code strings.

The server is stateless. Inputs are normalized through mathematical boundaries and expressed in SI units where applicable. Plate operations can also use millimeter-scale values, while actuation outputs use Cartesian G-code conventions. The repository describes the project as a research and prototyping layer, particularly for workflows involving biological datasets, surface EMG, pipetting, and physical positioning.

How it works

SEOSiri-Official/biorobotics MCP server communicates through Model Context Protocol JSON-RPC over standard input and output. A client invokes one of six tools with structured parameters, and the Python runtime performs the corresponding calculation or data request.

fetch_genomic_data queries the UniProt REST API for sequence parameters. When the service is unavailable or rate-limited, the implementation can use local fallback reference data. The remaining tools are calculation-oriented: assay concentration and plate scale become spatial metrics; a well identifier becomes a coordinate offset; viscosity and target volume become a feedrate and pressure delay; and a DNA sequence becomes GC-content and melting-temperature values.

The EMG tool maps a signal measured in microvolts to a joint angle and G-code velocity profile. It also applies the described safety-envelope check. These outputs should be treated as inputs for research or prototyping systems, not as independently validated commands for medical or assistive deployment.

Setup and configuration

The repository requires Python 3.10 or newer. pip is supported, and uv is optional. For a local checkout, the README shows editable installation with pip install -e .. The repository also includes a Dockerfile for isolated execution.

An MCP client can launch the entry point at src/main_mcp_server.py. With uv, the documented direct repository configuration runs uv run --github SEOSiri-Official/biorobotics src/main_mcp_server.py. A cloned repository can instead be started with Python and a PYTHONPATH pointing to the project directory.

The protocol uses stdio, so the client must support local MCP processes. The documented compatible clients include Claude Desktop and Cursor IDE. Linux, macOS, and Windows are listed as supported platforms.

Tools and capabilities

  • fetch_genomic_data: Retrieves sequence parameters from UniProt, with fallback reference data for offline or rate-limited conditions.
  • resolve_biotech_spatial_intent: Converts concentration and plate-scale inputs into immutable SI-unit spatial metrics.
  • map_plate_coordinate: Converts alphanumeric wells such as A1 through H12 into offsets for SLAS/SBS 96-well plates.
  • calculate_pipetting_speed: Computes a G-code feedrate and pressure delay from viscosity and target volume.
  • calculate_dna_melting_temp: Computes GC-content and DNA melting temperature for thermal deck configuration.
  • translate_emg_to_actuation: Converts EMG values into joint angles and G-code velocity profiles, including a safety-envelope result.

Limitations and notes

The project depends on UniProt for live genomic lookups but provides fallback behavior for some unavailable requests. Its outputs are deterministic mathematical translations, not guarantees that a connected robot, pipette, thermal deck, or prosthetic mechanism will behave safely. The EMG feature is explicitly not a certified medical or prosthetic control system; clinical or assistive use requires separate regulatory validation and hardware safeguards.

The roadmap mentions closed-loop serial telemetry and capacitive liquid-level detection as future work, so those capabilities should not be assumed to be available in the current server.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

Last commit
1mo ago
Most recent push to the default branch.
Tools exposed
6
Callable tools this server registers over MCP.
Directory activity
4 views
Config copies, upvotes, and views on AllMCPs.

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Frequently Asked Questions about Biorobotics

Install Python 3.10 or newer, then use the repository's editable installation command, `pip install -e .`, or launch it through the documented `uv run --github SEOSiri-Official/biorobotics src/main_mcp_server.py` configuration.

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Technical Specs & Signals

Category📂Biology, Medicine and Bioinformatics
PricingFree
More technical detailsExpand ▾
AuthNo auth required
LicenseMIT
ClientsClaude Desktop, Cursor
Last updatedSep 6, 2026
4/5 checks healthy over the last 31d
Views4
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 27, 2026
48Quality signal: Fair · 48/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools23/30
Adoption & activity2/15
Community engagement1/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in Biology, Medicine and Bioinformatics →Alternatives to Biorobotics →Install in Claude DesktopInstall in CursorInstall in VS Code