DCP vs. MCP
The Model Context Protocol (MCP) is an open standard that connects an AI model to external tools, data sources, and prompt templates so it can act and fetch context. The Development Coordination Protocol (DCP) is a vocabulary for describing project-coordination events between agents and humans. They sit at different layers and are easily confused, since both use the word “Task.”
Same vocabulary, different job
Section titled “Same vocabulary, different job”MCP answers “how does a model reach a tool or a file it doesn’t already have.” Anthropic built it, then donated it to the Agentic AI Foundation, a directed fund under the Linux Foundation, in a move announced 2025-12-09. MCP’s own scope statement is explicit: it “focuses solely on the protocol for context exchange — it does not dictate how AI applications use LLMs or manage the provided context.” Its self-description, “a USB-C port for AI applications,” is apt.
DCP answers a different question: “how does one agent tell another agent, or a human, what just happened on the project.” It never invokes anything and never fetches anything. As the why a coordination vocabulary page puts it, MCP lets a model reach a tool; DCP is the missing shared grammar for reporting a decision, a finding, or a milestone.
DCP vs. MCP at a glance
Section titled “DCP vs. MCP at a glance”| DCP | MCP | |
|---|---|---|
| Layer / purpose | Semantic vocabulary for project-coordination events | Connectivity protocol for model-to-tool/data access |
| What it connects | Agents and humans to each other’s project state | A model (AI application) to external tools, resources, and prompts |
| Core primitives / entities | 8 closed entities: Project, Task, Dependency, ArchitectureImpact, Decision, ReviewRequest, Finding, Milestone | Server-side: Tools, Resources, Prompts. Client-side: Sampling, Elicitation, Logging |
| ”Tasks” meaning | A first-class coordination entity — a unit of project work with its own verbs, deltas, and references, part of the closed 8-entity set | An experimental durable wrapper for tracking completion of MCP’s own RPC requests (deferred result retrieval, status polling) — not a coordination-entity model |
| Trust / identity model | Carries none by design — a DCP message is untrusted data; the transport authenticates | Capability negotiation during the initialize handshake; authentication and authorization left to the transport layer |
| Transport | Transport-neutral — no binding of its own | JSON-RPC 2.0 over stdio or Streamable HTTP with SSE |
| Governance / status | Open spec under active development, Apache-2.0 code and schemas, CC-BY-4.0 docs | Agentic AI Foundation (Linux Foundation directed fund), existing MCP maintainers retain technical control |
| Relationship to the other | Describes what changed; can ride inside an MCP tool result or resource payload | Grants the ability to act and fetch; says nothing about how to record the outcome |
The sharpest line: MCP connects a model to its tools and data; DCP connects agents and humans to each other’s project state.
The Task collision, unpacked
Section titled “The Task collision, unpacked”This is the one place the two protocols use identical vocabulary for unrelated things. MCP’s architecture documentation describes its experimental Tasks primitive as a “durable execution wrapper” that lets a client poll for or retrieve the deferred result of a long-running MCP request — it exists purely to track whether one RPC call is still in flight. It has no fields for who decided what, no relation to a Decision or a Finding, and no scope beyond a single client-server exchange.
DCP’s Task is one of the 8 closed entities in the coordination vocabulary — a unit of project work that can be created, updated, completed, and linked to a Dependency or a Decision via the closed rel vocabulary. It is not a wrapper around a network call; it is a durable record of project state, meant to be read by a different agent, a different team, or a human, days or weeks later.
Confusing the two is an easy mistake precisely because the names match. Read “MCP Task” as “is this RPC call done yet” and “DCP Task” as “what work item does the project have open,” and the collision disappears.
If I already use MCP, do I need DCP?
Section titled “If I already use MCP, do I need DCP?”Honestly, they solve different problems, so it isn’t really either/or. MCP gives your agent the capability to act — call a tool, read a file, pull a resource. It says nothing about how that agent tells anyone else what it did. If your agents only ever call tools and never need another agent or a human to know what happened, you may not need a coordination vocabulary at all.
But the moment two agents, or an agent and a human, need to stay in sync on project state — “a Decision was recorded,” “this Task is now blocked on that Dependency,” “a Finding was raised in review” — MCP has nothing to offer, because it was never designed to. That’s DCP’s job. A natural pattern: an agent uses MCP to fetch a file or call a tool, then emits a DCP event to record what changed as a result. MCP handles the access; DCP handles the record. Neither replaces the other — see DCP vs. A2A for how the same complementary framing applies to agent-to-agent messaging.
Where each one is defined
Section titled “Where each one is defined”MCP’s primitives and transport bindings live in its own specification at modelcontextprotocol.io. DCP’s entities, verbs, and the closed rel vocabulary live in the entity reference and the repo’s normative SPEC. Both are transport-neutral at the payload level — MCP defines its own wire format, while DCP defines none and rides inside whatever carries it, MCP included. For the full landscape of adjacent protocols, see the comparison hub.
By InterIP Networks · Last updated 2026-07-01.
