Web and AI-automation agencies: one AI agent, many client projects, one limit

An agency runs one AI agent across a dozen client codebases, n8n instances and CMSs, and every one of them pours tool output into the same context and the same plan. A single workflow export can fill the window before the real work starts. Meanwhile, client keys sit in every repo the agent opens.

What you deal with every day

Agencies use AI agents for two kinds of work. Web agencies maintain and build client sites, often WordPress or Shopify. AI-automation agencies build workflows for clients, typically with Claude Code, n8n and its MCP servers.

MCP results flood the context

n8n exposes workflows and node documentation to agents through MCP, and those payloads are big. A builder on r/n8n put it bluntly: "an LLM reading raw n8n JSON simply obliterates the context window (a 30-node workflow gets massive!)" (r/n8n, February 28, 2026). He built a lighter MCP server to work around it.

The usual advice is to switch MCP servers off when you do not need them. That works until the task needs one.

One plan, many clients

Agency work does not fit neatly into a single subscription. A reviewer who has run a top-tier Claude plan for 14 months notes that an agency "need[s] per-project billing and per-client separation", while subscription plans "are tied to a single account" (theplanettools.ai, verified July 23, 2026).

Every client project draws from the same allowance. A noisy session on one site leaves less room for the next.

Client secrets in every repo

Each client brings its own credentials. A WordPress freelancer with ten years of practice recommends blocking wp-config.php, "database dumps, payment logs, private exports, API keys, and client documents" from the agent (rikidesk.com, May 18, 2026).

Deny rules cover the file read, not every command. In one reported incident, an agent ran a shell command over a .env file while "checking whether KIS env vars are present", and four secret values landed in the transcript (Claude Code issue tracker, incident of May 14, 2026).

Contracts set the boundaries

Some client contracts limit outside tools. One guide for web agencies advises checking any "restriction on subcontracting or use of external tools" before using generative AI at all (claudecode-lab.com, June 7, 2026, translated from French). Adding yet another cloud service to the chain makes that conversation harder.

What Tokenade changes for an agency

Tokenade runs between your AI agent and its tools, on the computer where you work. It does not route anything through a new cloud service.

• Large MCP results are folded. In Claude Code, MCP results are folded after each call. For other agents, tokenade install wraps your third-party MCP servers with mcp-wrap: results over about 25k tokens are stashed locally and replaced by a summary, and mcp-wrap report shows the savings per tool.
• Build, deploy and git output is folded. The agent gets the errors and the result, not every progress line.
• Unfamiliar client repos are cheaper to explore. tokenade map, skeleton and semantic let the agent find the right file and function without reading the whole codebase first.
• Credentials are masked in output. Cloud keys, tokens, private keys and high-entropy strings Tokenade recognises are masked before the output reaches the agent. If one slipped into a cache, tokenade scrub-secret purges it.
• Unlimited machines. Free and Pro accounts cover any number of computers, so a staging box or a second workstation needs no extra seat.

On the public THOL benchmark, long sessions with Tokenade cost 39% less than the same sessions without it. For an agency, every token not spent on one client's logs is available for the next client's work. For the habits that keep MCP lean on top of that, see token-efficient MCP tool use.

What Tokenade does not do: it does not split savings or usage by client. tokenade gain reports per machine and account, by compactor and agent.

Client confidentiality: what stays on your machine

Compaction runs locally. Client code, file contents, paths, prompts and command arguments are not sent to Tokenade's servers, so using it does not add a new party that sees your clients' work. Only usage counts go out, to meter the plan; every field is listed in What Tokenade sends and stores.

Be precise with clients about the rest. Your agent still sends what it reads to its model provider. Tokenade masks credentials it recognises; it does not hide client names, customer records or business content. E-mail addresses and phone numbers are masked only if you set TOKENADE_REDACT_PII=1.

Setting it up

The install guide has the details.

1. Install the CLI: npm install -g @tokenade/cli
2. Wire your agents and MCP servers: tokenade install adds hooks or plugins to every supported agent and wraps the third-party MCP servers in their configs. tokenade unwrap-mcps restores the originals.
3. Log in: tokenade login, one account per person. Team members each install on their own computer. Plans are on the pricing page.

FAQ

Does it work with the n8n MCP server?

Tokenade does not need to know a server to fold its results. In Claude Code, any MCP result is folded after the call; in other agents, wrapped servers go through mcp-wrap, which handles any third-party server in the agent's MCP config.

Will folding hide the part of a workflow I need?

No. The full result is kept in a local stash for seven days. The agent can retrieve it, or only the part it needs, with tokenade expand-ref.

Can I bill savings back to each client?

Not from Tokenade. Savings are reported per account and machine, not per project or client.

Does it hide our clients' personal data from the model?

No. It masks credentials such as API keys and tokens. Personal data and client content are passed through as the agent reads them, apart from e-mails and phone numbers when you opt in with TOKENADE_REDACT_PII=1.