Graph shortest unweighted path
graph-shortest-unweighted-path · version 1.0.0 · Graphs & scheduling · free, no key needed
Find a shortest directed path by fewest edges from source to target.
Use when you need to: graph shortest unweighted path · fewest directed edges from source to target · unweighted shortest path between two nodes.
Supported
- graph shortest unweighted path
- fewest directed edges from source to target
- unweighted shortest path between two nodes
Not supported
- weighted shortest path
- k-shortest paths
- negative-weight shortest path
- all-pairs shortest paths
- undirected shortest path
Behavior
- Input is a directed simple graph plus source and target, which must both be existing node ids.
- length is the number of directed edges on the path, equal to path.length - 1.
- When source equals target, the result is reachable with path [source] and length 0, even if a self-loop or cycle exists.
- Otherwise the path is a BFS from source: first visit wins, outgoing neighbors follow declared edge order, and the route is reconstructed from parent pointers.
- If target is unreachable, reachable is false, path is [], and length is null.
- Self-loops and directed cycles are allowed; they do not change the first-visit BFS rule.
Input
nodes(array of string, required): max items 2000; each min length 1; each max length 256edges(array of object, required): max items 10000source(string, required): min length 1; max length 256target(string, required): min length 1; max length 256
Output
reachable(boolean, required)path(array of string, required)length(integer or null, required): min 0
Limits
- max nodes: 2000
- max edges: 10000
- max node id bytes: 256
Example
Request input:
{
"nodes": [
"start",
"left",
"right",
"end"
],
"edges": [
{
"from": "start",
"to": "right"
},
{
"from": "start",
"to": "left"
},
{
"from": "left",
"to": "end"
},
{
"from": "right",
"to": "end"
}
],
"source": "start",
"target": "end"
}
Response:
{
"result": {
"reachable": true,
"path": [
"start",
"right",
"end"
],
"length": 2
}
}
How to call it
MCP
Connect https://computefirst.net/mcp (setup), then call execute with:
{
"id": "graph-shortest-unweighted-path",
"version": "1.0.0",
"input": {
"nodes": [
"start",
"left",
"right",
"end"
],
"edges": [
{
"from": "start",
"to": "right"
},
{
"from": "start",
"to": "left"
},
{
"from": "left",
"to": "end"
},
{
"from": "right",
"to": "end"
}
],
"source": "start",
"target": "end"
}
}
HTTP (no key)
curl -X POST https://computefirst.net/v1/tools/graph-shortest-unweighted-path/versions/1.0.0/execute \
-H "Content-Type: application/json" \
-d '{"nodes":["start","left","right","end"],"edges":[{"from":"start","to":"right"},{"from":"start","to":"left"},{"from":"left","to":"end"},{"from":"right","to":"end"}],"source":"start","target":"end"}'
The machine-readable contract is at /v1/tools/graph-shortest-unweighted-path/versions/1.0.0.
CLI
node cli.mjs run graph-shortest-unweighted-path 1.0.0 --input input.json --base-url https://computefirst.net
Get the client at /clients/cli/.
Related tools
- Graph reachable from: List nodes reachable from given sources by directed BFS, in discovery order.
- Graph from adjacency: Rebuild a simple directed graph from adjacency lists of node ids and successors.
- Graph induced subgraph: Return the vertex-induced subgraph on a listed node subset, preserving declared node and edge order.
- Graph to adjacency: Convert a directed simple graph into per-node outgoing adjacency lists.
- Graph validate: Inspect a well-formed directed simple graph and report counts, isolated nodes, and maximum degrees.
- Schedule critical path: Compute CPM zero-slack critical nodes and tight edges on a DAG, plus one representative critical path.