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End Effector Grasp MCP
x402
End Effector Grasp MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.35/call, status unknown (last checked 2026-10-16).
Processes end-effector grasp planning or analysis data for robotic manipulation tasks
Price / call$0.35
Success—
StatusUnknown
How this service works
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Output
Returns processed grasp planning or analysis results for the submitted end-effector data, likely including grasp pose candidates, quality scores, feasibility assessments, or configuration parameters for robotic manipulation.
Example use cases
Robotic arm grasp feasibility check
“I have a robotic arm approaching a cylindrical object at this pose — can you process this end-effector data and tell me if the grasp is feasible and what the best gripper configuration would be?”
Manipulation planning for pick-and-place
“I'm setting up a pick-and-place task and need to plan the grasp for my parallel-jaw end effector given this scene description — can you compute the grasp parameters?”
Grasp quality evaluation
“Here's the sensor data from my robot's gripper during a grasping attempt — can you analyze this end-effector grasp data and score the grasp quality?”
Technical details
Endpoint
POSThttps://api.m2mcent.com/end-effector-grasp-mcp/api/process?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need cloud-based end-effector grasp computation or analysis without running a local robotics stack. Useful for agents orchestrating robotic manipulation tasks that need rapid grasp planning as a service, especially in agentic workflows where micropayment-per-call (x402) pricing is acceptable.
Side effects
- Invalid or malformed data string returns an error
- Unsupported end-effector configuration types may not be processed
- Payment failure (402) if x402 micropayment is not included
- Empty data field returns a validation error
- Ambiguous or incomplete scene data may return low-confidence results
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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